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NeurIPS 2024: all accepted papers

4,494 papers · page 38 of 45 · the most cited first · ← NeurIPS 2024

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  1. Data subsampling for Poisson regression with pth-root-link ↗Han Cheng Lie, Alexander Munteanu
  2. Data-Efficient Learning with Neural Programs ↗Alaia Solko-Breslin, Seewon Choi, Ziyang Li et al.
  3. Data-faithful Feature Attribution: Mitigating Unobservable Confounders via Instrumental Variables ↗Qiheng Sun, Haocheng Xia, Jinfei Liu
  4. DePLM: Denoising Protein Language Models for Property Optimization ↗Zeyuan Wang, Keyan Ding, Ming Qin et al.
  5. DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms ↗Oryan Yehezkel, Alon Zolfi, Amit Baras et al.
  6. Decoupling Semantic Similarity from Spatial Alignment for Neural Networks. ↗Tassilo Wald, Constantin Ulrich, Gregor Köhler et al.
  7. Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module ↗Jingbo Zhou, Yixuan Du, Ruqiong Zhang et al.
  8. Deep Homomorphism Networks ↗Takanori Maehara, Hoang Nt
  9. Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond ↗Alan Jeffares, Alicia Curth, Mihaela van der Schaar
  10. Deep Submodular Peripteral Networks ↗Gantavya Bhatt, Arnav Das, Jeffrey A. Bilmes
  11. Deep linear networks for regression are implicitly regularized towards flat minima ↗Pierre Marion, Lénaïc Chizat
  12. DeiSAM: Segment Anything with Deictic Prompting ↗Hikaru Shindo, Manuel Brack, Gopika Sudhakaran et al.
  13. Delving into the Reversal Curse: How Far Can Large Language Models Generalize? ↗Zhengkai Lin, Zhihang Fu, Kai Liu et al.
  14. Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval ↗Haolun Wu, Ofer Meshi, Masrour Zoghi et al.
  15. Derandomizing Multi-Distribution Learning ↗Kasper Green Larsen, Omar Montasser, Nikita Zhivotovskiy
  16. Deterministic Policies for Constrained Reinforcement Learning in Polynomial Time ↗Jeremy McMahan
  17. Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning ↗Abdullah Akgül, Manuel Haußmann, Melih Kandemir
  18. DiffHammer: Rethinking the Robustness of Diffusion-Based Adversarial Purification ↗K. Wang, Xiaowen Fu, Yuxuan Han et al.
  19. DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation ↗Weiting Tan, Jingyu Zhang, Lingfeng Shen et al.
  20. Diffeomorphic interpolation for efficient persistence-based topological optimization ↗Mathieu Carrière, Marc Theveneau, Théo Lacombe
  21. Differentially Private Equivalence Testing for Continuous Distributions and Applications ↗Daniel Omer, Or Sheffet
  22. Differentially Private Set Representations ↗Sarvar Patel, Giuseppe Persiano, Joon Young Seo et al.
  23. Diffusing Differentiable Representations ↗Yash Savani, Marc Finzi, J. Zico Kolter
  24. Diffusion PID: Interpreting Diffusion via Partial Information Decomposition ↗Shaurya Dewan, Rushikesh Zawar, Prakanshul Saxena et al.
  25. Diffusion Spectral Representation for Reinforcement Learning ↗Dmitry Shribak, Chen-Xiao Gao, Yitong Li et al.
  26. Discrete Modeling via Boundary Conditional Diffusion Processes ↗Yuxuan Gu, Xiaocheng Feng, Lei Huang et al.
  27. Discretely beyond 1/e: Guided Combinatorial Algortihms for Submodular Maximization ↗Yixin Chen, Ankur Nath, Chunli Peng et al.
  28. Disentangled Style Domain for Implicit z-Watermark Towards Copyright Protection ↗Junqiang Huang, Zhaojun Guo, Ge Luo et al.
  29. Disentangling Linear Quadratic Control with Untrusted ML Predictions ↗Tongxin Li, Hao Liu, Yisong Yue
  30. Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluation ↗Claude Formanek, Callum Rhys Tilbury, Louise Beyers et al.
  31. Distribution Learning with Valid Outputs Beyond the Worst-Case ↗Nick Rittler, Kamalika Chaudhuri
  32. Distributional Successor Features Enable Zero-Shot Policy Optimization ↗Chuning Zhu, Xinqi Wang, Tyler Han et al.
  33. Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation ↗Clément Dombry, Ahmed Zaoui
  34. Distributionally Robust Performative Prediction ↗Songkai Xue, Yuekai Sun
  35. Divergences between Language Models and Human Brains ↗Yuchen Zhou, Emmy Liu, Graham Neubig et al.
  36. Do LLMs Build World Representations? Probing Through the Lens of State Abstraction ↗Zichao Li, Yanshuai Cao, Jackie Chi Kit Cheung
  37. Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers ↗Yibo Jiang, Goutham Rajendran, Pradeep Ravikumar et al.
  38. Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD ↗Jie Hu, Yi-Ting Ma, Do Young Eun
  39. Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning ↗Wasu Top Piriyakulkij, Cassidy Langenfeld, Tuan Le et al.
  40. Domain Adaptation for Large-Vocabulary Object Detectors ↗Kai Jiang, Jiaxing Huang, Weiying Xie et al.
  41. Don't Compress Gradients in Random Reshuffling: Compress Gradient Differences ↗Abdurakhmon Sadiev, Grigory Malinovsky, Eduard Gorbunov et al.
  42. DreamSteerer: Enhancing Source Image Conditioned Editability using Personalized Diffusion Models ↗Zhengyang Yu, Zhaoyuan Yang, Jing Zhang
  43. DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation ↗Sunghyeon Woo, Baesung Park, Byeongwook Kim et al.
  44. Dual-Perspective Activation: Efficient Channel Denoising via Joint Forward-Backward Criterion for Artificial Neural Networks ↗Tian Qiu, Chenchao Gao, Zunlei Feng et al.
  45. Dueling over Dessert, Mastering the Art of Repeated Cake Cutting ↗Simina Brânzei, MohammadTaghi Hajiaghayi, Reed Phillips et al.
  46. DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning ↗Anthony Liang, Guy Tennenholtz, Chih-Wei Hsu et al.
  47. Dynamic Rescaling for Training GNNs ↗Nimrah Mustafa, Rebekka Burkholz
  48. Dynamic Service Fee Pricing under Strategic Behavior: Actions as Instruments and Phase Transition ↗Rui Ai, David Simchi‐Levi, Feng Zhu
  49. Dynamic Subgroup Identification in Covariate-adjusted Response-adaptive Randomization Experiments ↗Yanping Li, Jingshen Wang, Waverly Wei
  50. Dynamics of Supervised and Reinforcement Learning in the Non-Linear Perceptron ↗Christian Schmid, James M. Murray
  51. EASI: Evolutionary Adversarial Simulator Identification for Sim-to-Real Transfer ↗Haoyu Dong, Huiqiao Fu, Huiqiao Fu et al.
  52. EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like Sketching ↗Xinwang Chen, Ning Liu, Yichen Zhu et al.
  53. EGonc : Energy-based Open-Set Node Classification with substitute Unknowns ↗Qin Zhang, Zelin Shi, Shirui Pan et al.
  54. Efficiency for Free: Ideal Data Are Transportable Representations ↗Peng Sun, Yi Jiang, Tao Lin
  55. Efficient Lifelong Model Evaluation in an Era of Rapid Progress ↗Ameya Prabhu, Vishaal Udandarao, Philip H. S. Torr et al.
  56. Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithms ↗Firas Trabelsi, David Vilar, Mara Finkelstein et al.
  57. Efficient Policy Evaluation Across Multiple Different Experimental Datasets ↗Yonghan Jung, Alexis Bellot
  58. Efficient Reinforcement Learning by Discovering Neural Pathways ↗Samin Yeasar Arnob, Riyasat Ohib, Sergey Plis et al.
  59. Efficient Sketches for Training Data Attribution and Studying the Loss Landscape ↗Andrea Schioppa
  60. Efficiently Learning Significant Fourier Feature Pairs for Statistical Independence Testing ↗Yixin Ren, Yewei Xia, Hao Zhang et al.
  61. EigenVI: score-based variational inference with orthogonal function expansions ↗Diana Cai, Chirag Modi, Charles C. Margossian et al.
  62. Embedding Dimension of Contrastive Learning and k-Nearest Neighbors ↗Dmitrii Avdiukhin, Vaggos Chatziafratis, Orr Fischer et al.
  63. Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning ↗Yiming Wang, Pei Zhang, Baosong Yang et al.
  64. Embedding-Aligned Language Models ↗Guy Tennenholtz, Yinlam Chow, Chih‐Wei Hsu et al.
  65. Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space ↗Core Francisco Park, Maya Okawa, Andrew Lee et al.
  66. Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity ↗Robby Costales, Stefanos Nikolaidis
  67. End-to-End Video Semantic Segmentation in Adverse Weather using Fusion Blocks and Temporal-Spatial Teacher-Student Learning ↗Xin Yang, Yan Wending, Michael Bi Mi et al.
  68. Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces ↗Tobias Schröder, Zijing Ou, Yingzhen Li et al.
  69. Energy-Guided Continuous Entropic Barycenter Estimation for General Costs ↗Alexander Kolesov, Petr Mokrov, Igor Udovichenko et al.
  70. Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA ↗David D. Smerkous, Qinxun Bai, Fuxin Li
  71. Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation ↗Shangding Gu, Laixi Shi, Yuhao Ding et al.
  72. Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective ↗Xinhao Yao, Xiaolin Hu, Shenzhi Yang et al.
  73. Enhancing LLM Reasoning via Vision-Augmented Prompting ↗Ziyang Xiao, Dongxiang Zhang, Xiongwei Han et al.
  74. Enhancing Preference-based Linear Bandits via Human Response Time ↗Shen Li, Yuyang Zhang, Zhaolin Ren et al.
  75. Enhancing Protein Mutation Effect Prediction through a Retrieval-Augmented Framework ↗Ruihan Guo, Rui Wang, Ruidong Wu et al.
  76. Enhancing Robustness of Last Layer Two-Stage Fair Model Corrections ↗Nathan Stromberg, Rohan Ayyagari, Sanmi Koyejo et al.
  77. Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection ↗Qian Shao, Jiangrui Kang, Qiyuan Chen et al.
  78. Ensemble sampling for linear bandits: small ensembles suffice ↗David Janz, Alexander E. Litvak, Csaba Szepesvári
  79. Entropy testing and its application to testing Bayesian networks ↗Clément L. Canonne, Joy Yang
  80. Entrywise error bounds for low-rank approximations of kernel matrices ↗Alexander Modell
  81. Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning ↗Dong-Su Lee, Minhae Kwon
  82. Equivariant Blurring Diffusion for Hierarchical Molecular Conformer Generation ↗Jiwoong Park, Yang Shen
  83. Equivariant Neural Diffusion for Molecule Generation ↗François Cornet, Grigory Bartosh, Mikkel Nørgaard Schmidt et al.
  84. Error Analysis of Spherically Constrained Least Squares Reformulation in Solving the Stackelberg Prediction Game ↗Xiyuan Li, Weiwei Liu
  85. Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression ↗Kai Tan, Pierre C. Bellec
  86. Euclidean distance compression via deep random features ↗Brett Leroux, Luis Rademacher
  87. Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalization ↗Davide Buffelli, Jamie McGowan, Wangkun Xu et al.
  88. Exogenous Matching: Learning Good Proposals for Tractable Counterfactual Estimation ↗Yikang Chen, Dehui Du, Lili Tian
  89. Expectation Alignment: Handling Reward Misspecification in the Presence of Expectation Mismatch ↗Malek Mechergui, Sarath Sreedharan
  90. Expected Probabilistic Hierarchies ↗Marcel Kollovieh, Bertrand Charpentier, Daniel Zügner et al.
  91. Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport ↗Nazar Buzun, Maksim Bobrin, Dmitry V. Dylov
  92. Explanations that reveal all through the definition of encoding ↗Aahlad Puli, Nhi Nguyen, Rajesh Ranganath
  93. Exploration by Learning Diverse Skills through Successor State Representations ↗Paul-Antoine Le Tolguenec, Yann Besse, Florent Teichteil-Königsbuch et al.
  94. Exploring Fixed Point in Image Editing: Theoretical Support and Convergence Optimization ↗Haoming Chen, Zhe Ma, Haoming Chen et al.
  95. Exploring Jacobian Inexactness in Second-Order Methods for Variational Inequalities: Lower Bounds, Optimal Algorithms and Quasi-Newton Approximations ↗Artem Agafonov, Petr A Ostroukhov, Roman Mozhaev et al.
  96. Extensive-Form Game Solving via Blackwell Approachability on Treeplexes ↗Darshan Chakrabarti, Julien Grand-Clément, Christian Kroer
  97. Externally Valid Policy Evaluation from Randomized Trials Using Additional Observational Data ↗Sofia Ek, Dave Zachariah
  98. Extracting Training Data from Molecular Pre-trained Models ↗Renhong Huang, Jiarong Xu, Zhiming Yang et al.
  99. E³: Exploring Embodied Emotion Through A Large-Scale Egocentric Video Dataset ↗Lin Wang, Yueying Feng, Wenkang Han et al.
  100. FUSE: Fast Unified Simulation and Estimation for PDEs ↗Levi Lingsch, Dana Grund, Siddhartha Kumar Mishra et al.

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