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NeurIPS 2025: all accepted papers

5,819 papers · page 47 of 59 · the most cited first · ← NeurIPS 2025

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  1. Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme ↗Rudy Morel, Francesco P. Ramunno, Jeff Shen et al.
  2. Predicting the Performance of Black-box Language Models with Follow-up Queries ↗Dylan Sam, Marc Finzi, J. Zico Kolter
  3. Prediction with expert advice under additive noise ↗Alankrita Bhatt, Victoria Kostina
  4. Prediction-Powered Causal Inferences ↗Riccardo Cadei, İlker Demirel, Piersilvio De Bartolomeis et al.
  5. Prediction-Powered Semi-Supervised Learning with Online Power Tuning ↗Noa Shoham, Ron Dorfman, Shalev Shaer et al.
  6. Predictive Coding Enhances Meta-RL To Achieve Interpretable Bayes-Optimal Belief Representation Under Partial Observability ↗Po-Chen Kuo, Han Hou, Will Dabney et al.
  7. Predictive Preference Learning from Human Interventions ↗Hengyi Cai, Zhenghao Peng, Bolei Zhou
  8. Preference Distillation via Value based Reinforcement Learning ↗Minchan Kwon, Junwon Ko, Kangil Kim et al.
  9. Preference Learning with Response Time: Robust Losses and Guarantees ↗Ayush Sawarni, Sahasrajit Sarmasarkar, Vasilis Syrgkanis
  10. Preference Optimization by Estimating the Ratio of the Data Distribution ↗Yeongmin Kim, Heejin Bae, Byeonghu Na et al.
  11. Preference Optimization on Pareto Sets: On a Theory of Multi-Objective Optimization ↗Abhishek Roy, Geelon So, Yian Ma
  12. Preference-Based Dynamic Ranking Structure Recognition ↗Nan Lu, Jian Shi, Xinyu Tian
  13. Preference-based Reinforcement Learning beyond Pairwise Comparisons: Benefits of Multiple Options ↗Joongkyu Lee, Seouh-won Yi, Min-hwan Oh
  14. Preference-driven Knowledge Distillation for Few-shot Node Classification ↗Xing Wei, Chunchun Chen, Rui Fan et al.
  15. Preserving LLM Capabilities through Calibration Data Curation: From Analysis to Optimization ↗Bowei He, Lihao Yin, Hui-Ling Zhen et al.
  16. Preserving Task-Relevant Information Under Linear Concept Removal ↗Floris Holstege, Shauli Ravfogel, B. Wouters
  17. Pretraining a Shared Q-Network for Data-Efficient Offline Reinforcement Learning ↗Jong-Chan Park, Mingyu Park, Donghwan Lee
  18. Preventing Shortcuts in Adapter Training via Providing the Shortcuts ↗Anujraaj Goyal, Guocheng Qian, Huseyin Coskun et al.
  19. Price of Parsimony: Complexity of Fourier Sparsity Testing ↗Arijit Ghosh, Manmatha Roy
  20. Principled Data Augmentation for Learning to Solve Quadratic Programming Problems ↗Chendi Qian, Christopher Morris
  21. Principled Fine-tuning of LLMs from User-Edits: A Medley of Preference, Supervision, and Reward ↗Dipendra Kumar Misra, Aldo Pacchiano, Ta-Chung Chi et al.
  22. Principled Long-Tailed Generative Modeling via Diffusion Models ↗Pranoy Das, Kexin Fu, Abolfazl Hashemi et al.
  23. Principled Model Routing for Unknown Mixtures of Source Domains ↗Christoph Dann, Yishay Mansour, Teodor V. Marinov et al.
  24. Prior Forgetting and In-Context Overfitting ↗Sungyoon Lee
  25. Prior-Guided Diffusion Planning for Offline Reinforcement Learning ↗Donghyeon Ki, JunHyeok Oh, Seongwoong Shim et al.
  26. Prioritizing Perception-Guided Self-Supervision: A New Paradigm for Causal Modeling in End-to-End Autonomous Driving ↗Yi Huang, Zhan Qu, Lihui Jiang et al.
  27. Privacy Reasoning in Ambiguous Contexts ↗Ren Yi, Octavian Suciu, Adrià Gascón et al.
  28. Privacy amplification by random allocation ↗Moshe Shenfeld, Vitaly Feldman
  29. Private Continual Counting of Unbounded Streams ↗Ben Jacobsen, Kassem Fawaz
  30. Private Evolution Converges ↗Tomás González Lara, Giulia Fanti, Aaditya Ramdas
  31. Private Geometric Median in Nearly-Linear Time ↗Syamantak Kumar, Daogao Liu, Kevin Tian et al.
  32. Private Hyperparameter Tuning with Ex-Post Guarantee ↗Badih Ghazi, Pritish Kamath, Alexander Knop et al.
  33. Private Online Learning against an Adaptive Adversary: Realizable and Agnostic Settings ↗Bo Li, Wei Wang, Peng Ye
  34. Private Set Union with Multiple Contributions ↗Travis Dick, Haim Kaplan, Alex Kulesza et al.
  35. Private Statistical Estimation via Truncation ↗Manolis Zampetakis, Felix Zhou
  36. Private Zeroth-Order Optimization with Public Data ↗Xuchen Gong, Tian Li
  37. ProDAG: Projected Variational Inference for Directed Acyclic Graphs ↗Ryan Thompson, Edwin V. Bonilla, Robert Kohn
  38. ProSpero: Active Learning for Robust Protein Design Beyond Wild-Type Neighborhoods ↗Michał Kmicikiewicz, Vincent Fortuin, Ewa Szczurek
  39. Probabilistic Reasoning with LLMs for Privacy Risk Estimation ↗Jonathan Zheng, Alan Ritter, Sauvik Das et al.
  40. Probabilistic Stability Guarantees for Feature Attributions ↗Helen Jin, Anton Xue, Weiqiu You et al.
  41. Probabilistic Token Alignment for Large Language Model Fusion ↗Runjia Zeng, Jia Liang, Cheng Hao Han et al.
  42. Probably Approximately Precision and Recall Learning ↗Lee Cohen, Yishay Mansour, Shay Moran et al.
  43. Probing Equivariance and Symmetry Breaking in Convolutional Networks ↗Sharvaree Vadgama, Mohammad Islam, Domas Buracas et al.
  44. Probing Hidden Knowledge Holes in Unlearned LLMs ↗Myeongseob Ko, Hoang Anh Just, Charles Fleming et al.
  45. Probing Neural Combinatorial Optimization Models ↗Zhiqin Zhang, Yining Ma, Zhiguang Cao et al.
  46. Problem-Parameter-Free Decentralized Bilevel Optimization ↗Zhiwei Zhai, Wenjing Yan, Ying–Jun Angela Zhang
  47. Procurement Auctions with Predictions: Improved Frugality for Facility Location ↗Eric Balkanski, Nicholas Defilippis, Vasilis Gkatzelis et al.
  48. Product Distribution Learning with Imperfect Advice ↗Arnab Bhattacharyya, Davin Choo, Philips George John et al.
  49. ProfiX: Improving Profile-Guided Optimization in Compilers with Graph Neural Networks ↗Huiri TAN, Juyong Jiang, Jiasi Shen
  50. Program Synthesis via Test-Time Transduction ↗Kang-Il Lee, Jahyun Koo, Seunghyun Yoon et al.
  51. Progressive Data Dropout: An Embarrassingly Simple Approach to Train Faster ↗Shriram M S, Xinyue Hao, Shihao Hou et al.
  52. Projection-Manifold Regularized Latent Diffusion for Robust General Image Fusion ↗Lei Cao, Hao Zhang, Chunyu Li et al.
  53. Projection-based Lyapunov method for fully heterogeneous weakly-coupled MDPs ↗Xiangcheng Zhang, Yige Hong, Weina Wang
  54. Projective Equivariant Networks via Second-order Fundamental Differential Invariants ↗Yikang Li, Yeqing Qiu, Yuxuan Chen et al.
  55. Prompt Tuning Decision Transformers with Structured and Scalable Bandits ↗Finn Rietz, Oleg Smirnov, Sara Karimi et al.
  56. Prompt Tuning Transformers for Data Memorization ↗Haiyu Wang, Yuanyuan Lin
  57. Prompt-Guided Alignment with Information Bottleneck Makes Image Compression Also a Restorer ↗Xuelin Shen, Quan Liu, Jiayin Xu et al.
  58. Prompt-guided Disentangled Representation for Action Recognition ↗Tianci Wu, Guangming Zhu, Lu jiang et al.
  59. Promptable 3-D Object Localization with Latent Diffusion Models ↗Cheng-Yao Hong, Li-Heng Wang, Tyng-Luh Liu
  60. Prompted Policy Search: Reinforcement Learning through Linguistic and Numerical Reasoning in LLMs ↗Yifan Zhou, Sachin Grover, Mohamed El Mistiri et al.
  61. Proper Hölder-Kullback Dirichlet Diffusion: A Framework for High Dimensional Generative Modeling ↗Wanpeng Zhang, Yuhao Fang, Xihang Qiu et al.
  62. Prot2Text-V2: Protein Function Prediction with Multimodal Contrastive Alignment ↗Xiao Fei, Michail Chatzianastasis, Sarah Almeida Carneiro et al.
  63. ProtInvTree: Deliberate Protein Inverse Folding with Reward-guided Tree Search ↗Mengdi Liu, Xiaoxue Cheng, Zhangyang Gao et al.
  64. Protein Design with Dynamic Protein Vocabulary ↗Nuowei Liu, Jiahao Kuang, Liu Yanting et al.
  65. Protein Inverse Folding From Structure Feedback ↗Junde Xu, Zijun Gao, Xinyi Zhou et al.
  66. ProteinConformers: Benchmark Dataset for Simulating Protein Conformational Landscape Diversity and Plausibility ↗Yihang Zhou, Chen Wei, Minghao Sun et al.
  67. ProtoPairNet: Interpretable Regression through Prototypical Pair Reasoning ↗Rose Gurung, Ronilo Ragodos, Chiyu Ma et al.
  68. Protocols for Verifying Smooth Strategies in Bandits and Games ↗Miranda Christ, Daniel Reichman, Jonathan Shafer
  69. Provable Gradient Editing of Deep Neural Networks ↗Zhe Tao, Aditya Thakur
  70. Provable Meta-Learning with Low-Rank Adaptations ↗Jacob Block, Sundararajan Srinivasan, L. Collins et al.
  71. Provable Ordering and Continuity in Vision-Language Pretraining for Generalizable Embodied Agents ↗Zhizhen Zhang, Lei Zhu, Zhen Fang et al.
  72. Provably Efficient Multi-Task Meta Bandit Learning via Shared Representations ↗Jiabin Lin, Shana Moothedath
  73. Provably Efficient Online RLHF with One-Pass Reward Modeling ↗Long-Fei Li, Yu-Yang Qian, Peng Zhao et al.
  74. Provably Efficient RL under Episode-Wise Safety in Constrained MDPs with Linear Function Approximation ↗Toshinori Kitamura, Arnob Ghosh, Tadashi Kozuno et al.
  75. Proximalized Preference Optimization for Diverse Feedback Types: A Decomposed Perspective on DPO ↗Kaiyang Guo, Y. K. Li, Zhitang Chen
  76. Pruning Spurious Subgraphs for Graph Out-of-Distribution Generalization ↗Tianjun Yao, Haoxuan Li, Yongqiang Chen et al.
  77. Pruning-Robust Mamba with Asymmetric Multi-Scale Scanning Paths ↗Jindi Lv, Yuhao Zhou, Mingjia Shi et al.
  78. Pseudo-Riemannian Graph Transformer ↗Viet Quan Le, Ta Viet Cuong
  79. PubSub-VFL: Towards Efficient Two-Party Split Learning in Heterogeneous Environments via Publisher/Subscriber Architecture ↗Yi Liu, Yang Liu, Leqian Zheng et al.
  80. Purest Quantum State Identification ↗Youbin Yu, Honglin Chen, Wu Jun et al.
  81. Purifying Approximate Differential Privacy with Randomized Post-processing ↗Yingyu Lin, Erchi Wang, Yi-An Ma et al.
  82. Purity Law for Neural Routing Problem Solvers with Enhanced Generalizability ↗Wenzhao Liu, Haoran Li, Congying Han et al.
  83. Put CASH on Bandits: A Max K-Armed Problem for Automated Machine Learning ↗Amir Rezaei Balef, Claire Vernade, Katharina Eggensperger
  84. Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction ↗Jiahao Ma, Lei Wang, Miaomiao Liu et al.
  85. Q-Palette: Fractional-Bit Quantizers Toward Optimal Bit Allocation for Efficient LLM Deployment ↗DEOKJAE LEE, Hyun Oh Song
  86. Q3R: Quadratic Reweighted Rank Regularizer for Effective Low-Rank Training ↗Ipsita Ghosh, Ethan H K Nguyen, Christian Kümmerle
  87. Q: Provably Optimal Distributional RL for LLM Post-Training ↗Jin Peng Zhou, Kaiwen Wang, Jonathan Chang et al.
  88. QBasicVSR: Temporal Awareness Adaptation Quantization for Video Super-Resolution ↗Zhenwei Zhang, Fanhua Shang, Hongying Liu et al.
  89. QCircuitBench: A Large-Scale Dataset for Benchmarking Quantum Algorithm Design ↗Rui Yang, Ziruo Wang, Yuntian Gu et al.
  90. QFFT, Question-Free Fine-Tuning for Adaptive Reasoning ↗Wanlong Liu, Junxiao Xu, Fei Yu et al.
  91. QSCA: Quantization with Self-Compensating Auxiliary for Monocular Depth Estimation ↗양진철, Jaemin Choi, Matti Zinke et al.
  92. QSVD: Efficient Low-rank Approximation for Unified Query-Key-Value Weight Compression in Low-Precision Vision-Language Models ↗Yutong Wang, Haiyu Wang, Sai Qian Zhang
  93. QUT-DV25: A Dataset for Dynamic Analysis of Next-Gen Software Supply Chain Attacks ↗Sk. Tanzir Mehedi, Raja Jurdak, Chadni Islam et al.
  94. QiMeng-MuPa: Mutual-Supervised Learning for Sequential-to-Parallel Code Translation ↗Changxin Ke, Rui Zhang, Shuo Wang et al.
  95. QiMeng-NeuComBack: Self-Evolving Translation from IR to Assembly Code ↗Hainan Fang, Yuanbo Wen, Jun Bi et al.
  96. QuARI: Query Adaptive Retrieval Improvement ↗Eric P. Xing, Abby Stylianou, Robert B. Pless et al.
  97. QuadEnhancer: Leveraging Quadratic Transformations to Enhance Deep Neural Networks ↗Qian Chen, Linxin Yang, Akang Wang et al.
  98. Quadratic Coreset Selection: Certifying and Reconciling Sequence and Token Mining for Efficient Instruction Tuning ↗Ziliang Chen, Yongsen Zheng, Zhao‐Rong Lai et al.
  99. QuanDA: Quantile-Based Discriminant Analysis for High-Dimensional Imbalanced Classification ↗Qian Tang, Yuwen Gu, Boxiang Wang
  100. Quantifying Cross-Modality Memorization in Vision-Language Models ↗Yuxin Wen, Yangsibo Huang, Tom Goldstein et al.

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