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NeurIPS 2024: all accepted papers

4,494 papers · page 37 of 45 · the most cited first · ← NeurIPS 2024

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  1. Asynchronous Perception Machine for Efficient Test Time Training ↗Rajat Modi, Yogesh Singh Rawat
  2. Attention boosted Individualized Regression ↗Guang Yang, Yuan Cao, Long Feng
  3. Autobidder's Dilemma: Why More Sophisticated Autobidders Lead to Worse Auction Efficiency ↗Yuan Deng, Jieming Mao, Vahab Mirrokni et al.
  4. Avoiding Undesired Future with Minimal Cost in Non-Stationary Environments ↗Wen-Bo Du, Tian Qin, Tian-Zuo Wang et al.
  5. BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning ↗Haohong Lin, Wenhao Ding, Jian Chen et al.
  6. BLURD: Benchmarking and Learning using a Unified Rendering and Diffusion Model ↗Boris Repasky, Anthony Dick, Ehsan Abbasnejad
  7. Balancing Context Length and Mixing Times for Reinforcement Learning at Scale ↗Matthew Riemer, Khimya Khetarpal, Janarthanan Rajendran et al.
  8. Banded Square Root Matrix Factorization for Differentially Private Model Training ↗Nikita Kalinin, Christoph H. Lampert
  9. Bandit-Feedback Online Multiclass Classification: Variants and Tradeoffs ↗Yuval Filmus, Steve Hanneke, Idan Mehalel et al.
  10. Bandits with Abstention under Expert Advice ↗Stephen Pasteris, Alberto Rumi, Maximilian Thiessen et al.
  11. Bandits with Preference Feedback: A Stackelberg Game Perspective ↗Barna Pásztor, Parnian Kassraie, Andreas Krause
  12. Bandits with Ranking Feedback ↗Davide Maran, Francesco Bacchiocchi, Francesco Emanuele Stradi et al.
  13. Barely Random Algorithms and Collective Metrical Task Systems ↗Romain Cosson, Laurent Massoulié
  14. Base of RoPE Bounds Context Length ↗Mingyu Xu, Xin Men, Bingning Wang et al.
  15. Bayesian Domain Adaptation with Gaussian Mixture Domain-Indexing ↗Jiyong Li, Jiyong Li, Lingbo Li et al.
  16. Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal ↗Juliusz Ziomek, Masaki Adachi, Michael A. Osborne
  17. Beating Adversarial Low-Rank MDPs with Unknown Transition and Bandit Feedback ↗Haolin Liu, Zakaria Mhammedi, Chen-Yu Wei et al.
  18. Belief-State Query Policies for User-Aligned POMDPs ↗Daniel Bramblett, Siddharth Srivastava
  19. Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm ↗R. Teal Witter, Christopher Musco
  20. Benign overfitting in leaky ReLU networks with moderate input dimension ↗Kedar Karhadkar, Erin George, Michael Murray et al.
  21. Beyond Optimism: Exploration With Partially Observable Rewards ↗Simone Parisi, Alireza Kazemipour, Michael Bowling
  22. Beyond Single Stationary Policies: Meta-Task Players as Naturally Superior Collaborators ↗Haoming Wang, Zhaoming Tian, Yunpeng Song et al.
  23. Beyond task diversity: provable representation transfer for sequential multitask linear bandits ↗Thang Duong, Zhi Wang, Chicheng Zhang
  24. Bifr"ost: 3D-Aware Image Compositing with Language Instructions ↗Lingxiao Li, Kaixiong Gong, Weihong Li et al.
  25. Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning ↗Armand Kassaï Koupaï, Jorge Mifsut Benet, Yuan Yin et al.
  26. Boosting the Potential of Large Language Models with an Intelligent Information Assistant ↗Yujia Zhou, Zheng Liu, Zhicheng Dou
  27. Bounds for the smallest eigenvalue of the NTK for arbitrary spherical data of arbitrary dimension ↗Kedar Karhadkar, Michael Murray, Guido Montúfar
  28. Breaking the curse of dimensionality in structured density estimation ↗Robert A. Vandermeulen, Wai Ming Tai, Bryon Aragam
  29. BricksRL: A Platform for Democratizing Robotics and Reinforcement Learning Research and Education with LEGO ↗Sebastian Dittert, Vincent Moens, Gianni De Fabritiis
  30. Bridging semantics and pragmatics in information-theoretic emergent communication ↗Eleonora Gualdoni, Mycal Tucker, Roger Lévy et al.
  31. CALE: Continuous Arcade Learning Environment ↗Jesse Farebrother, Pablo Samuel Castro
  32. CALVIN: Improved Contextual Video Captioning via Instruction Tuning ↗Gowthami Somepalli, Arkabandhu Chowdhury, Ronen Basri et al.
  33. CIFD: Controlled Information Flow to Enhance Knowledge Distillation ↗Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Jaejin Cho et al.
  34. CODA: A Correlation-Oriented Disentanglement and Augmentation Modeling Scheme for Better Resisting Subpopulation Shifts ↗Ziquan Ou, Zijun Zhang
  35. COLD: Causal reasOning in cLosed Daily activities ↗Abhinav Joshi, Areeb Ahmad, Ashutosh Modi
  36. CRAYM: Neural Field Optimization via Camera RAY Matching ↗Liqiang Lin, Wenpeng Wu, Chi‐Wing Fu et al.
  37. CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks ↗Miria Feng, Zachary Frangella, Mert Pilancı
  38. Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach ↗Hanyang Yuan, Jiarong Xu, Renhong Huang et al.
  39. Can Language Models Learn to Skip Steps? ↗Tengxiao Liu, Qipeng Guo, Xiangkun Hu et al.
  40. Can an AI Agent Safely Run a Government? Existence of Probably Approximately Aligned Policies ↗Frédéric Berdoz, Roger P. Wattenhofer
  41. Can neural operators always be continuously discretized? ↗Takashi Furuya, Michael Puthawala, Maarten V. de Hoop et al.
  42. Carrot and Stick: Eliciting Comparison Data and Beyond ↗Yiling Chen, Shi Feng, Fang-Yi Yu
  43. Catastrophic Goodhart: regularizing RLHF with KL divergence does not mitigate heavy-tailed reward misspecification ↗Thomas Kwa, Thomas Kwa, Adrià Garriga-Alonso
  44. Causal Effect Identification in a Sub-Population with Latent Variables ↗Amir Mohammad Abouei, Ehsan Mokhtarian, Negar Kiyavash et al.
  45. Causal Inference in the Closed-Loop: Marginal Structural Models for Sequential Excursion Effects ↗Alexander Levis, Gabriel C. Loewinger, Francisco Pereira
  46. Causal Temporal Representation Learning with Nonstationary Sparse Transition ↗Xiangchen Song, Zijian Li, Guangyi Chen et al.
  47. Causal vs. Anticausal merging of predictors ↗Sergio Hernan Garrido Mejia, Patrick Blöbaum, Bernhard Schölkopf et al.
  48. Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-distribution Generalization ↗Tuan Nguyen, Paymon Haddad, Eric Gan et al.
  49. Cherry on Top: Parameter Heterogeneity and Quantization in Large Language Models ↗Wanyun Cui, Qianle Wang
  50. CigTime: Corrective Instruction Generation Through Inverse Motion Editing ↗Qihang Fang, Chengcheng Tang, Bugra Tekin et al.
  51. Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations ↗Yuli Slavutsky, Yuval Benjamini
  52. Classification Diffusion Models: Revitalizing Density Ratio Estimation ↗Shahar Yadin, Noam Elata, Tomer Michaeli
  53. ClevrSkills: Compositional Language And Visual Reasoning in Robotics ↗Sanjay Haresh, Daniel Dijkman, Apratim Bhattacharyya et al.
  54. Cloud Object Detector Adaptation by Integrating Different Source Knowledge ↗Shuaifeng Li, Mao Ye, Lihua Zhou et al.
  55. Clustering with Non-adaptive Subset Queries ↗Hadley Black, Euiwoong Lee, Arya Mazumdar et al.
  56. CoSy: Evaluating Textual Explanations of Neurons ↗Laura Kopf, Philine Lou Bommer, Anna Hedström et al.
  57. Coherence-free Entrywise Estimation of Eigenvectors in Low-rank Signal-plus-noise Matrix Models ↗Hao Yan, Keith Levin
  58. Communication Bounds for the Distributed Experts Problem ↗Zhihao Jia, Qi Pang, Trung Thai Tran et al.
  59. Compositional Generalization Across Distributional Shifts with Sparse Tree Operations ↗Paul Soulos, Henry Conklin, Mattia Opper et al.
  60. Computational Aspects of Bayesian Persuasion under Approximate Best Response ↗Kunhe Yang, Hanrui Zhang
  61. Computing the Bias of Constant-step Stochastic Approximation with Markovian Noise ↗Sebastian Allmeier, Nicolas Gast
  62. Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models ↗Chengzhengxu Li, Chengzhengxu Li, Zhaohan Zhang et al.
  63. Conditional Density Estimation with Histogram Trees ↗Lincen Yang, Matthijs van Leeuwen
  64. Conditional Outcome Equivalence: A Quantile Alternative to CATE ↗Josh Givens, Henry W. J. Reeve, Song Liu et al.
  65. Conditional Synthesis of 3D Molecules with Time Correction Sampler ↗Hojung Jung, Youngrok Park, Laura Schmid et al.
  66. Confident Natural Policy Gradient for Local Planning in qπ-realizable Constrained MDPs ↗Tian Tian, Lin Forrest Yang, Csaba Szepesvári
  67. Conformal Classification with Equalized Coverage for Adaptively Selected Groups ↗Yanfei Zhou, Matteo Sesia
  68. Conformalized Credal Set Predictors ↗Alireza Javanmardi, David Stutz, Eyke Hüllermeier
  69. Conformalized Multiple Testing after Data-dependent Selection ↗Xiaoning Wang, Yuyang Huo, Liuhua Peng et al.
  70. Connectivity Shapes Implicit Regularization in Matrix Factorization Models for Matrix Completion ↗Zhiwei Bai, Jiajie Zhao, Yaoyu Zhang
  71. Consistency Diffusion Bridge Models ↗Guande He, Kaiwen Zheng, Guande He et al.
  72. Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness ↗Yiquan Li, Zhong‐Zhu Chen, Kun Jin et al.
  73. Consistency of Neural Causal Partial Identification ↗Jiyuan Tan, José Blanchet, Vasilis Syrgkanis
  74. Constrained Binary Decision Making ↗Daniel Průša, Vojtěch Franc
  75. ContactField: Implicit Field Representation for Multi-Person Interaction Geometry ↗Hansol Lee, Tackgeun You, Hansoo Park et al.
  76. Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models ↗Paulius Rauba, Nabeel Seedat, Max Ruiz Luyten et al.
  77. Contextual Active Model Selection ↗Xuefeng Liu, Fangfang Xia, Rick Stevens et al.
  78. Contextual Linear Optimization with Bandit Feedback ↗Yichun Hu, Nathan Kallus, Xiaojie Mao et al.
  79. Contextual Multinomial Logit Bandits with General Value Functions ↗Mengxiao Zhang, Haipeng Luo
  80. Continual Counting with Gradual Privacy Expiration ↗Joel Andersson, Monika Rauch Henzinger, Rasmus Pagh et al.
  81. Continuous Spatiotemporal Events Decoupling through Spike-based Bayesian Computation ↗Yajing Zheng, Jiyuan Zhang, Zhaofei Yu et al.
  82. Contrastive-Equivariant Self-Supervised Learning Improves Alignment with Primate Visual Area IT ↗Thomas E. Yerxa, Jenelle Feather, Eero P. Simoncelli et al.
  83. Controlling Continuous Relaxation for Combinatorial Optimization ↗Yuma Ichikawa
  84. Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound ↗Reuben Adams, John S. Shawe-Taylor, Benjamin Guedj
  85. Convergence of log(1/ε) for Gradient-Based Algorithms in Zero-Sum Games without the Condition Number: A Smoothed Analysis ↗Ioannis Anagnostides, Tüomas Sandholm
  86. Convolutions and More as Einsum: A Tensor Network Perspective with Advances for Second-Order Methods ↗Felix Dangel
  87. Cost-efficient Knowledge-based Question Answering with Large Language Models ↗Junnan Dong, Qinggang Zhang, Chuang Zhou et al.
  88. Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning ↗Chia-Hsiang Kao, Bharath Hariharan
  89. Covariate Shift Corrected Conditional Randomization Test ↗Bowen Xu, Yiwen Huang, Chuan Hong et al.
  90. Cross-model Control: Improving Multiple Large Language Models in One-time Training ↗Jiayi Wu, Hao Sun, Hengyi Cai et al.
  91. Cryptographic Hardness of Score Estimation ↗Min Jae Song
  92. C²M³: Cycle-Consistent Multi-Model Merging ↗Donato Crisostomi, Marco Fumero, Daniele Baieri et al.
  93. DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation ↗Xueqing Wu, Rui Zheng, Jingzhen Sha et al.
  94. DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity ↗Baekrok Shin, Junsoo Oh, Hanseul Cho et al.
  95. DDR: Exploiting Deep Degradation Response as Flexible Image Descriptor ↗Juncheng Wu, Zhangkai Ni, Shiqi Wang et al.
  96. DECO-Bench: Unified Benchmark for Decoupled Task-Agnostic Synthetic Data Release ↗Farzaneh Askari, Lingjuan Lyu, Vivek Sharma
  97. DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised h-transform ↗Alexander H. Denker, Francisco Vargas, Shreyas Padhy et al.
  98. DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning ↗Zijian Zhou, Xiaoqiang Lin, Xinyi Xu et al.
  99. DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction ↗Xinwei Zhang, Zhiqi Bu, Mingyi Hong et al.
  100. Data Mixture Inference Attack: BPE Tokenizers Reveal Training Data Compositions ↗Jonathan Hayase, Alisa Liu, Yejin Choi et al.

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