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NeurIPS 2025: all accepted papers

5,819 papers · page 28 of 59 · the most cited first · ← NeurIPS 2025

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  1. Computable universal online learning ↗Dariusz Kalociński, Tomasz Steifer
  2. Computation and Memory-Efficient Model Compression with Gradient Reweighting ↗Zhiwei Li, Yuesen Liao, Binrui Wu et al.
  3. Computational Efficiency under Covariate Shift in Kernel Ridge Regression ↗Andrea Della Vecchia, Arnaud Watusadisi Mavakala, Ernesto De Vito et al.
  4. Computational Hardness of Reinforcement Learning with Partial qπ-Realizability ↗Shayan Karimi, Xiaoqi Tan
  5. Concentration and excess risk bounds for imbalanced classification with synthetic oversampling ↗Touqeer Ahmad, Mohammadreza Mousavi Kalan, François Portier et al.
  6. Concept Incongruence: An Exploration of Time and Death in Role Playing ↗Xiaoyan Bai, Ike Peng, Aditya Singh et al.
  7. ConceptScope: Characterizing Dataset Bias via Disentangled Visual Concepts ↗Jinho Choi, Hyesu Lim, Steffen Schneider et al.
  8. Conditional Distribution Compression via the Kernel Conditional Mean Embedding ↗Dominic Broadbent, Nick Whiteley, Robert Scott Allison et al.
  9. Conditional Forecasts and Proper Scoring Rules for Reliable and Accurate Performative Predictions ↗Philip Boeken, Onno R. Zoeter, Joris M. Mooij
  10. Conditional Gradient Methods with Standard LMO for Stochastic Simple Bilevel Optimization ↗Khanh-Hung Giang-Tran, Soroosh Shafiee, Nam Ho-Nguyen
  11. Conditional Representation Learning for Customized Tasks ↗Honglin Liu, Chao Sun, Peng Hu et al.
  12. ConfTuner: Training Large Language Models to Express Their Confidence Verbally ↗Yibo Li, Miao Xiong, Jiaying Wu et al.
  13. Confidence-Aware With Prototype Alignment for Partial Multi-label Learning ↗Weijun Lv, Yu Chen, Xiaozhao Fang et al.
  14. Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees ↗Daniel Ovalle, Lorenz T. Biegler, Ignacio E. Grossmann et al.
  15. Conformal Online Learning of Deep Koopman Linear Embeddings ↗Ben Gao, Jordan Patracone, Stéphane Chrétien et al.
  16. Conformal Prediction Beyond the Horizon: Distribution-Free Inference for Policy Evaluation ↗Feichen Gan, Youcun Lu, Yingying Zhang et al.
  17. Conformal Prediction for Causal Effects of Continuous Treatments ↗Maresa Schröder, Dennis Frauen, Jonas Schweisthal et al.
  18. Conformal Prediction for Ensembles: Improving Efficiency via Score-Based Aggregation ↗Yash Patel, Eduardo Ochoa Rivera, Ambuj Tewari
  19. Conformal Prediction in The Loop: A Feedback-Based Uncertainty Model for Trajectory Optimization ↗Han Wang, Chao Ning
  20. Conformal Prediction under Lévy-Prokhorov Distribution Shifts: Robustness to Local and Global Perturbations ↗Liviu Aolaritei, Julie Zhu, Oliver Wang et al.
  21. Conformal Risk Training: End-to-End Optimization of Conformal Risk Control ↗Christopher Yeh, Nicolas Christianson, Adam Wierman et al.
  22. Confounding Robust Deep Reinforcement Learning: A Causal Approach ↗Mingxuan Li, Junzhe Zhang, Elias Bareinboim
  23. Confusion-Driven Self-Supervised Progressively Weighted Ensemble Learning for Non-Exemplar Class Incremental Learning ↗Kai Hu, Zhang Yu, Yuan Zhang et al.
  24. Connecting Jensen–Shannon and Kullback–Leibler Divergences: A New Bound for Representation Learning ↗Reuben Dorent, Polina Golland, William M. Wells
  25. Connecting Neural Models Latent Geometries with Relative Geodesic Representations ↗Hongnian Yu, Berfin Inal, Georgios Arvanitidis et al.
  26. Connectome-Based Modelling Reveals Orientation Maps in the Drosophila Optic Lobe ↗Jia Nuo Liew, Shenghan Lin, Bowen Chen et al.
  27. ConnectomeBench: Can LLMs proofread the connectome? ↗Jeff Brown, Andrew Kirjner, Annika Vivekananthan et al.
  28. Consensus-Robust Transfer Attacks via Parameter and Representation Perturbations ↗Shixin Li, Zewei Li, Xiaojing Ma et al.
  29. Conservative classifiers do consistently well with improving agents: characterizing statistical and online learning ↗Dravyansh Sharma, Alec Sun
  30. Consistency Conditions for Differentiable Surrogate Losses ↗Drona Khurana, Anish Thilagar, Dhamma Kimpara et al.
  31. Consistency of Physics-Informed Neural Networks for Second-Order Elliptic Equations ↗Yuqian Cheng, Zhuo Chen, Qian Lin
  32. Consistency of the kn-nearest neighbor rule under adaptive sampling ↗Robi Bhattacharjee, Geelon So, Sanjoy Dasgupta
  33. Constant Bit-size Transformers Are Turing Complete ↗Qian Li, Yuyi Wang
  34. Constrained Best Arm Identification ↗Tyron Lardy, Christina Katsimerou, Wouter Michiel Koolen
  35. Constrained Entropic Unlearning: A Primal-Dual Framework for Large Language Models ↗Taha Entesari, Arman Hatami, Rinat Khaziev et al.
  36. Constrained Feedback Learning for Non-Stationary Multi-Armed Bandits ↗Shaoang Li, Jian Li
  37. Constrained Optimization From a Control Perspective via Feedback Linearization ↗Runyu Zhang, Arvind Raghunathan, Jeff S. Shamma et al.
  38. Constrained Posterior Sampling: Time Series Generation with Hard Constraints ↗Sai Shankar Narasimhan, Shubhankar Agarwal, Litu Rout et al.
  39. Constrained Sampling for Language Models Should Be Easy: An MCMC Perspective ↗Emmanuel Anaya Gonzalez, Sairam Vaidya, Kanghee Park et al.
  40. Constructing an Optimal Behavior Basis for the Option Keyboard ↗Lucas N. Alegre, Ana L. C. Bazzan, Andre Barreto et al.
  41. Contact Map Transfer with Conditional Diffusion Model for Generalizable Dexterous Grasp Generation ↗Yiyao Ma, Kai Chen, Kexin Zheng et al.
  42. Context-Aware Hierarchical Learning: A Two-Step Paradigm towards Safer LLMs ↗Tengyun Ma, Jiaqi Yao, Daojing He et al.
  43. Context-Aware Regularization with Markovian Integration for Attention-Based Nucleotide Analysis ↗Mohammad S. Refahi, Mahdi Abavisani, Bahrad Ali Sokhansanj et al.
  44. Contextual Dynamic Pricing with Heterogeneous Buyers ↗Thodoris Lykouris, Sloan Nietert, Princewill Okoroafor et al.
  45. Contextual Online Pricing with (Biased) Offline Data ↗Yixuan Zhang, Ruihao Zhu, Qiaomin Xie
  46. Contextual Thompson Sampling via Generation of Missing Data ↗Kelly W. Zhang, Tiffany Cai, Hongseok Namkoong et al.
  47. Contextual Tokenization for Graph Inverted Indices ↗Pritish Chakraborty, Indradyumna Roy, Soumen Chakrabarti et al.
  48. Contimask: Explaining Irregular Time Series via Perturbations in Continuous Time ↗Max Moebus, Björn Braun, Christian Holz
  49. Continual Gaussian Mixture Distribution Modeling for Class Incremental Semantic Segmentation ↗Guilin Zhu, Runmin Wang, Yuanjie Shao et al.
  50. Continual Knowledge Adaptation for Reinforcement Learning ↗Jinwu Hu, Zixuan Lian, Zhiquan Wen et al.
  51. Continual Release Moment Estimation with Differential Privacy ↗Nikita Sergeevich Kalinin, Jalaj Upadhyay, Christoph H. Lampert
  52. Continuity and Isolation Lead to Doubts or Dilemmas in Large Language Models ↗Héctor Pastén, Felipe Urrutia, Hector Orellana et al.
  53. Continuous Concepts Removal in Text-to-image Diffusion Models ↗Tingxu Han, Weisong Sun, Yanrong Hu et al.
  54. Continuous Diffusion Model for Language Modeling ↗Jaehyeong Jo, Sung Ju Hwang
  55. Continuous Domain Generalization ↗Zekun Cai, Yiheng YAO, Guangji Bai et al.
  56. Continuous Soft Actor-Critic: An Off-Policy Learning Method Robust to Time Discretization ↗Huimin Han, Shaolin Ji
  57. Continuous-time Riemannian SGD and SVRG Flows on Wasserstein Probabilistic Space ↗Mingyang Yi, Bohan Wang
  58. Contrastive Consolidation of Top-Down Modulations Achieves Sparsely Supervised Continual Learning ↗Viet Anh Tran, Emre Ozgur Neftci, Willem A. M. Wybo
  59. Contrastive Representations for Temporal Reasoning ↗Alicja Ziarko, Michał Bortkiewicz, Michał Zawalski et al.
  60. Contrastive Self-Supervised Learning As Neural Manifold Packing ↗Guanming Zhang, David J. Heeger, Stefano Martiniani
  61. Contribution of task-irrelevant stimuli to drift of neural representations ↗Farhad Pashakhanloo
  62. Controllable Human-centric Keyframe Interpolation with Generative Prior ↗Zujin Guo, Size Wu, Zhongang Cai et al.
  63. Controlled Visual Hallucination via Thalamus-Driven Decoupling Network for Domain Adaptation of Black-Box Predictors ↗Yuwu Lu, Chunzhi Liu
  64. Controlling The Spread of Epidemics on Networks with Differential Privacy ↗Dung Tuan Nguyen, Aravind Srinivasan, Renata Valieva et al.
  65. Convergence Rates for Gradient Descent on the Edge of Stability for Overparametrised Least Squares ↗Lachlan Ewen MacDonald, Hancheng Min, Leandro Palma et al.
  66. Convergence Rates of Constrained Expected Improvement ↗Haowei Wang, Jingyi Wang, Zhongxiang Dai et al.
  67. Convergence Theorems for Entropy-Regularized and Distributional Reinforcement Learning ↗Yash Jhaveri, Harley Wiltzer, Patrick Shafto et al.
  68. Convergence of Clipped SGD on Convex (L0,L1)-Smooth Functions ↗Ofir Gaash, Kfir Yehuda Levy, Yair Carmon
  69. Convergence of the Gradient Flow for Shallow ReLU Networks on Weakly Interacting Data ↗Léo Dana, Loucas Pillaud‐Vivien, Francis Bach
  70. Convergent Functions, Divergent Forms ↗Hyeonseong Jeon, Ainaz Eftekhar, Aaron Walsman et al.
  71. Convex Approximation of Two-Layer ReLU Networks for Hidden State Differential Privacy ↗Rob Romijnders, Antti Koskela
  72. Convex Potential Mirror Langevin Algorithm for Efficient Sampling of Energy-Based Models ↗Zitao Yang, Amin Ullah, Shuai Li et al.
  73. Convolution Goes Higher-Order: A Biologically Inspired Mechanism Empowers Image Classification ↗Simone Azeglio, Olivier Marre, Peter Neri et al.
  74. Cooperative Bargaining Games Without Utilities: Mediated Solutions from Direction Oracles ↗Kushagra Gupta, Surya Murthy, Mustafa O. Karabag et al.
  75. Cooperative Retrieval-Augmented Generation for Question Answering: Mutual Information Exchange and Ranking by Contrasting Layers ↗Youmin Ko, Sungjong Seo, Hyunjoon Kim
  76. CoreGuard: Safeguarding Foundational Capabilities of LLMs Against Model Stealing in Edge Deployment ↗Qinfeng Li, Tianyue Luo, Xuhong Zhang et al.
  77. CoreaSpeech: Korean Speech Corpus via JAMO-based Coreset Selection for Efficient and Robust Korean Speech Generation ↗Ki-Joong Kwon, Junho So, Sang-Hoon Lee
  78. Coreset for Robust Geometric Median: Eliminating Size Dependency on Outliers ↗Ziyi Fang, Lingxiao Huang, Runkai Yang
  79. Coresets for Clustering Under Stochastic Noise ↗Lingxiao Huang, Zhize Li, Nisheeth K. Vishnoi et al.
  80. Correcting misinterpretations of additive models ↗Benedict Clark, Rick Wilming, Hjalmar Schulz et al.
  81. Corrector Sampling in Language Models ↗Itai Gat, Neta Shaul, Uriel Singer et al.
  82. Correlated Low-Rank Adaptation for ConvNets ↗Wu Ran, Weijia Zhang, ShuYang Pang et al.
  83. Correlation Dimension of Autoregressive Large Language Models ↗Xin Du, Kumiko Tanaka‐Ishii
  84. CosmoBench: A Multiscale, Multiview, Multitask Cosmology Benchmark for Geometric Deep Learning ↗Teresa Huang, Richard Stiskalek, Jun-Young Lee et al.
  85. Cosmos: Compressed and Smooth Latent Space for Text Diffusion Modeling ↗Viacheslav Meshchaninov, Egor Chimbulatov, Alexander Shabalin et al.
  86. Cost-Efficient LLM Training with Lifetime-Aware Tensor Offloading via GPUDirect Storage ↗Ziqi Yuan, Haoyang Zhang, Yirui Eric Zhou et al.
  87. Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning ↗Dong Bok Lee, Aoxuan Zhang, Byungjoo Kim et al.
  88. Cost-aware LLM-based Online Dataset Annotation ↗Eray Can Elumar, Cem Tekin, Osman Yağan
  89. Counteractive RL: Rethinking Core Principles for Efficient and Scalable Deep Reinforcement Learning ↗Ezgi Korkmaz
  90. Counterfactual Evolution of Multimodal Datasets via Visual Programming ↗Minghe Gao, Zhongqi Yue, Wenjie Yan et al.
  91. Counterfactual Identifiability via Dynamic Optimal Transport ↗Fabio De Sousa Ribeiro, Ainkaran Santhirasekaram, Ben Glocker
  92. Counterfactual Reasoning for Steerable Pluralistic Value Alignment of Large Language Models ↗Hanze Guo, Jing Yao, Xiao Zhou et al.
  93. Counterfactual reasoning: an analysis of in-context emergence ↗Moritz Miller, Bernhard Schölkopf, Siyuan Guo
  94. Coupled Data and Measurement Space Dynamics for Enhanced Diffusion Posterior Sampling ↗Shayan Mohajer Hamidi, Ben Liang, En‐hui Yang
  95. Coupling Generative Modeling and an Autoencoder with the Causal Bridge ↗Ruolin Meng, Ming-Yu Chung, Dhanajit Brahma et al.
  96. Covariances for Free: Exploiting Mean Distributions for Training-free Federated Learning ↗Dipam Goswami, Simone Magistri, K. W. Wang et al.
  97. Covariate-moderated Empirical Bayes Matrix Factorization ↗William R. P. Denault, Karl Tayeb, Peter S. Carbonetto et al.
  98. Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization ↗Natalie Maus, Kyurae Kim, Yimeng Zeng et al.
  99. Creativity or Brute Force? Using Brainteasers as a Window into the Problem-Solving Abilities of Large Language Models ↗Sophia Han, Howard Dai, Stephen Xia et al.
  100. Credal Prediction based on Relative Likelihood ↗Timo Löhr, Paul Hofman, Felix Mohr et al.

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