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NeurIPS 2024: all accepted papers

4,494 papers · page 35 of 45 · the most cited first · ← NeurIPS 2024

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  1. Symmetry-Informed Governing Equation Discovery ↗Jianke Yang, Wang Rao, Nima Dehmamy et al.1 citation
  2. Synthetic Programming Elicitation for Text-to-Code in Very Low-Resource Programming and Formal Languages ↗Federico Mora, Justin Wong, Haley Lepe et al.1 citation
  3. T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition ↗Chen Yeh, You-Ming Chang, Wei-Chen Chiu et al.1 citation
  4. TARP-VP: Towards Evaluation of Transferred Adversarial Robustness and Privacy on Label Mapping Visual Prompting Models ↗Zhen Chen, Yi Zhang, Fu Wang et al.1 citation
  5. Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces ↗Yaqi Duan, Martin J. Wainwright1 citation
  6. Taming Heavy-Tailed Losses in Adversarial Bandits and the Best-of-Both-Worlds Setting ↗Duo Cheng, Xingyu Zhou, Bo Ji1 citation
  7. Task Confusion and Catastrophic Forgetting in Class-Incremental Learning: A Mathematical Framework for Discriminative and Generative Modelings ↗Milad Khademi Nori, I Kim1 citation
  8. Task-Agnostic Machine-Learning-Assisted Inference ↗Jiacheng Miao, Qiongshi Lu1 citation
  9. Temporal-Difference Learning Using Distributed Error Signals ↗Jonas Guan, Shon Verch, Claas Voelcker et al.1 citation
  10. Test Where Decisions Matter: Importance-driven Testing for Deep Reinforcement Learning ↗Stefan Pranger, Hana Chockler, Martin Tappler et al.1 citation
  11. Test-Time Adaptation Induces Stronger Accuracy and Agreement-on-the-Line ↗Eungyeup Kim, Mingjie Sun, Christina Baek et al.1 citation
  12. Tetrahedron Splatting for 3D Generation ↗Chun Gu, Zeyu Yang, Zeyu Yang et al.1 citation
  13. Text-Aware Diffusion for Policy Learning ↗Calvin Luo, Mandy He, Zilai Zeng et al.1 citation
  14. The Dormant Neuron Phenomenon in Multi-Agent Reinforcement Learning Value Factorization ↗Haoyuan Qin, Chennan Ma, Mian Deng et al.1 citation
  15. The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning ↗Anya Sims, Cong Lu, Jakob Foerster et al.1 citation
  16. The Feature Speed Formula: a flexible approach to scale hyper-parameters of deep neural networks ↗Lénaïc Chizat, Praneeth Netrapalli1 citation
  17. The High Line: Exact Risk and Learning Rate Curves of Stochastic Adaptive Learning Rate Algorithms ↗Elizabeth W. Collins-Woodfin, Inbar Seroussi, Begoña García Malaxechebarría et al.1 citation
  18. The Implicit Bias of Gradient Descent on Separable Multiclass Data ↗Hrithik Ravi, Clayton D. Scott, Daniel Soudry et al.1 citation
  19. The Importance of Online Data: Understanding Preference Fine-tuning via Coverage ↗Yuda Song, Gokul Swamy, Aarti Singh et al.1 citation
  20. The Poisson Midpoint Method for Langevin Dynamics: Provably Efficient Discretization for Diffusion Models ↗Saravanan Kandasamy, Anant Raj1 citation
  21. The Power of Extrapolation in Federated Learning ↗Hanmin Li, Kirill Acharya, Peter Richtárik1 citation
  22. The Power of Resets in Online Reinforcement Learning ↗Zakaria Mhammedi, Dylan J. Foster, Alexander Rakhlin1 citation
  23. The Sample-Communication Complexity Trade-off in Federated Q-Learning ↗Sudeep Salgia, Yuejie Chi1 citation
  24. The tree autoencoder model, with application to hierarchical data visualization ↗Miguel Á. Carreira-Perpiñán, Kuat Gazizov1 citation
  25. This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization ↗Anthony Bardou, Patrick Thiran, Giovanni Ranieri1 citation
  26. Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox ↗Raymond J. Zhang, Richard Combes1 citation
  27. Time-Constrained Robust MDPs ↗Adil Zouitine, David Bertoin, Pierre Clavier et al.1 citation
  28. Tolerant Algorithms for Learning with Arbitrary Covariate Shift ↗Surbhi Goel, Abhishek Shetty, Konstantinos Stavropoulos et al.1 citation
  29. Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms ↗Rayna Andreeva, Benjamin Dupuis, Rik Sarkar et al.1 citation
  30. Toward Conditional Distribution Calibration in Survival Prediction ↗Shi-ang Qi, Yakun Yu, Russell Greiner1 citation
  31. Toward a Stable, Fair, and Comprehensive Evaluation of Object Hallucination in Large Vision-Language Models ↗Wei Hongliang, Xingtao Wang, Xianqi Zhang et al.1 citation
  32. Towards Croppable Implicit Neural Representations ↗Maor Ashkenazi, Eran Treister1 citation
  33. Towards Editing Time Series ↗Baoyu Jing, Shuqi Gu, Tianyu Chen et al.1 citation
  34. Towards Effective Planning Strategies for Dynamic Opinion Networks ↗Bharath Chandra Muppasani, Protik Nag, Vignesh Narayanan et al.1 citation
  35. Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits ↗Julien Zhou, Pierre Gaillard, Thibaud Rahier et al.1 citation
  36. Towards Exact Gradient-based Training on Analog In-memory Computing ↗Zhaoxian Wu, Tayfun Gokmen, Malte J. Rasch et al.1 citation
  37. Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection ↗Chaoda Zheng, Feng Wang, Naiyan Wang et al.1 citation
  38. Towards Flexible Visual Relationship Segmentation ↗Fangrui Zhu, Jianwei Yang, Huaizu Jiang1 citation
  39. Towards Harmless Rawlsian Fairness Regardless of Demographic Prior ↗Xuanqian Wang, Jing Li, Ivor Wai-Hung Tsang et al.1 citation
  40. Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework ↗Zhihai Wang, Jie Wang, Qingyue Yang et al.1 citation
  41. Towards Principled Graph Transformers ↗Luis Müller, Daniel Kusuma, Blai Bonet et al.1 citation
  42. Towards Reliable Model Selection for Unsupervised Domain Adaptation: An Empirical Study and A Certified Baseline ↗Dapeng Hu, Mi Luo, Jian Liang et al.1 citation
  43. Towards Understanding Evolving Patterns in Sequential Data ↗Qiuhao Zeng, Long-Kai Huang, Qi Chen et al.1 citation
  44. Towards Understanding Extrapolation: a Causal Lens ↗Lingjing Kong, Guangyi Chen, Petar Stojanov et al.1 citation
  45. Towards Understanding How Transformers Learn In-context Through a Representation Learning Lens ↗Ruifeng Ren, Yong Liu1 citation
  46. Towards Universal Mesh Movement Networks ↗Mingrui Zhang, Chunyang Wang, Stephan C. Kramer et al.1 citation
  47. Towards a Theoretical Understanding of the 'Reversal Curse' via Training Dynamics ↗Hanlin Zhu, Baihe Huang, Shaolun Zhang et al.1 citation
  48. Towards a theory of how the structure of language is acquired by deep neural networks ↗Francesco Cagnetta, Matthieu Wyart1 citation
  49. TrackIME: Enhanced Video Point Tracking via Instance Motion Estimation ↗Seong Hyeon Park, Huiwon Jang, Byungwoo Jeon et al.1 citation
  50. Trading Place for Space: Increasing Location Resolution Reduces Contextual Capacity in Hippocampal Codes ↗Spencer Rooke, Zhaoze Wang, Ronald W. DiTullio et al.1 citation
  51. Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming ↗Lorenzo Orecchia, Jiawei Hu, Jiawei Hu et al.1 citation
  52. Training Dynamics of Transformers to Recognize Word Co-occurrence via Gradient Flow Analysis ↗Hongru Yang, Bhavya Kailkhura, Zhangyang Wang et al.1 citation
  53. Transductive Active Learning: Theory and Applications ↗Jonas Hübotter, Bhavya Sukhija, Lenart Treven et al.1 citation
  54. Transfer Q-star : Principled Decoding for LLM Alignment ↗Souradip Chakraborty, Soumya Suvra Ghosal, Ming Yin et al.1 citation
  55. Transformer Doctor: Diagnosing and Treating Vision Transformers ↗Jiacong Hu, Hao Chen, Kejia Chen et al.1 citation
  56. Transformers on Markov data: Constant depth suffices ↗Nived Rajaraman, Marco Bondaschi, Kannan Ramchandran et al.1 citation
  57. Truncated Variance Reduced Value Iteration ↗Yujia Jin, Ishani Karmarkar, Aaron Sidford et al.1 citation
  58. Typicalness-Aware Learning for Failure Detection ↗Yijun Liu, Jiequan Cui, Zhuotao Tian et al.1 citation
  59. UMB: Understanding Model Behavior for Open-World Object Detection ↗Xing Xi, Yangyang Huang, Z. Zhong et al.1 citation
  60. UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language Models ↗Jiachen Liang, Ruibing Hou, Minyang Hu et al.1 citation
  61. UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation ↗Ye Sun, Hao Zhang, Tiehua Zhang et al.1 citation
  62. Uncertainty-aware Fine-tuning of Segmentation Foundation Models ↗Kangning Liu, Brian Price, Jason Kuen et al.1 citation
  63. Uncovering the Redundancy in Graph Self-supervised Learning Models ↗Zhibiao Wang, Xiao Wang, Haoyue Deng et al.1 citation
  64. Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense ↗Rui Min, Zeyu Qin, Nevin Lianwen Zhang et al.1 citation
  65. Understanding the Expressivity and Trainability of Fourier Neural Operator: A Mean-Field Perspective ↗Takeshi Koshizuka, Masahiro Fujisawa, Yusuke Zn Tanaka et al.1 citation
  66. UniAR: A Unified model for predicting human Attention and Responses on visual content ↗Peizhao Li, Junfeng He, Gang Li et al.1 citation
  67. UniFL: Improve Latent Diffusion Model via Unified Feedback Learning ↗Jiacheng Zhang, Jie Wu, Yuxi Ren et al.1 citation
  68. Unified Guidance for Geometry-Conditioned Molecular Generation ↗Sirine Ayadi, Leon Hetzel, Johanna Sommer et al.1 citation
  69. Unified Mechanism-Specific Amplification by Subsampling and Group Privacy Amplification ↗Jan Schuchardt, Mihail Stoian, Arthur Kosmala et al.1 citation
  70. Universal Neural Functionals ↗Allan Zhou, Chelsea Finn, James Harrison1 citation
  71. Universal Rates of Empirical Risk Minimization ↗Steve Hanneke, Mingyue Xu1 citation
  72. Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation ↗Yaoyuan Liang, Zhuojun Cai, Jian Xu et al.1 citation
  73. Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance ↗Jiwan Hur, Dong-Jae Lee, Gyojin Han et al.1 citation
  74. Unraveling the Gradient Descent Dynamics of Transformers ↗Bingqing Song, Boran Han, Shuai Zhang et al.1 citation
  75. Unscrambling disease progression at scale: fast inference of event permutations with optimal transport ↗Peter A Wijeratne, Daniel C. Alexander1 citation
  76. Untrained Neural Nets for Snapshot Compressive Imaging: Theory and Algorithms ↗Mengyu Zhao, Xi Chen, Xin Yuan et al.1 citation
  77. Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms ↗Fan Yao, Yiming Liao, Jingzhou Liu et al.1 citation
  78. Upping the Game: How 2D U-Net Skip Connections Flip 3D Segmentation ↗Xingru Huang, Yihao Guo, Jian Huang et al.1 citation
  79. UrbanDataLayer: A Unified Data Pipeline for Urban Science ↗Yiheng Wang, Tianyu Wang, Yiheng Wang et al.1 citation
  80. User-Creator Feature Polarization in Recommender Systems with Dual Influence ↗Tao Lin, Kun Jin, Andrew Estornell et al.1 citation
  81. Using Noise to Infer Aspects of Simplicity Without Learning ↗Zachery Boner, Harry Chen, Lesia Semenova et al.1 citation
  82. Using Surrogates in Covariate-adjusted Response-adaptive Randomization Experiments with Delayed Outcomes ↗Лей Ши, Waverly Wei, Jingshen Wang1 citation
  83. VISA: Variational Inference with Sequential Sample-Average Approximations ↗Heiko Zimmermann, Christian A. Naesseth, Jan-Willem van de Meent1 citation
  84. VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images ↗M. Maruf, Arka Daw, Kazi Sajeed Mehrab et al.1 citation
  85. Value Imprint: A Technique for Auditing the Human Values Embedded in RLHF Datasets ↗Ike Obi, Rohan Pant, Srishti Shekhar Agrawal et al.1 citation
  86. ViLCo-Bench: VIdeo Language COntinual learning Benchmark ↗Tianqi Tang, Shohreh Deldari, Hao Xue et al.1 citation
  87. Vision Foundation Model Enables Generalizable Object Pose Estimation ↗Kai Chen, Yiyao Ma, Xingyu Lin et al.1 citation
  88. Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning ↗Chenyu Yang, Xizhou Zhu, Jinguo Zhu et al.1 citation
  89. Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights ↗Sy-Tuyen Ho, Tuan Van Vo, Somayeh Ebrahimkhani et al.1 citation
  90. Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model ↗Haogeng Liu, Quanzeng You, Xiaotian Han et al.1 citation
  91. Vocal Call Locator Benchmark (VCL) for localizing rodent vocalizations from multi-channel audio ↗Ralph E. Peterson, Aramis Tanelus, Christopher Ick et al.1 citation
  92. Wasserstein convergence of Cech persistence diagrams for samplings of submanifolds ↗Charles Arnal, David Cohen‐Steiner, Vincent Divol1 citation
  93. Web-Scale Visual Entity Recognition: An LLM-Driven Data Approach ↗Mathilde Caron, Alireza Fathi, Cordelia Schmid et al.1 citation
  94. Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML ↗Tehila Dahan, Kfir Yehuda Levy1 citation
  95. What Rotary Position Embedding Can Tell Us: Identifying Query and Key Weights Corresponding to Basic Syntactic or High-level Semantic Information ↗Yi-Ting Chen, Junchi Yan1 citation
  96. What does guidance do? A fine-grained analysis in a simple setting ↗Muthu Chidambaram, Khashayar Gatmiry, Sitan Chen et al.1 citation
  97. What is my quantum computer good for? Quantum capability learning with physics-aware neural networks ↗Daniel Hothem, Ashe Miller, Timothy J Proctor1 citation
  98. When Your AIs Deceive You: Challenges of Partial Observability in Reinforcement Learning from Human Feedback ↗Leon Lang, Davis Foote, Stuart Russell et al.1 citation
  99. When is an Embedding Model More Promising than Another? ↗Maxime Darrin, Philippe Formont, Ismail Ben Ayed et al.1 citation
  100. WhodunitBench: Evaluating Large Multimodal Agents via Murder Mystery Games ↗Junlin Xie, Ruifei Zhang, Zhihong Chen et al.1 citation

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