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NeurIPS 2025: all accepted papers

5,819 papers · page 37 of 59 · the most cited first · ← NeurIPS 2025

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  1. How Particle System Theory Enhances Hypergraph Message Passing ↗Yixuan Ma, Kai Yi, Píetro Lió et al.
  2. How Patterns Dictate Learnability in Sequential Data ↗Mario Morawski, Anaïs Després, Remi Rehm
  3. How many measurements are enough? Bayesian recovery in inverse problems with general distributions ↗Ben Adcock, Zi Yuan (Nick) Huang
  4. How to Auto-optimize Prompts for Domain Tasks? Adaptive Prompting and Reasoning through Evolutionary Domain Knowledge Adaptation ↗Yang Zhao, Pu Wang, Hao Frank Yang
  5. How to Learn a Star: Binary Classification with Starshaped Polyhedral Sets ↗Marie-Charlotte Brandenburg, Katharina Jochemko
  6. How to Train Your LLM Web Agent: A Statistical Diagnosis ↗Dheeraj Vattikonda, Santhoshi Ravichandran, Emiliano Penaloza et al.
  7. How to build a consistency model: Learning flow maps via self-distillation ↗Nicholas M. Boffi, Michael S. Albergo, Eric Vanden‐Eijnden
  8. HubGT: Fast Graph Transformer with Decoupled Hierarchy Labeling ↗Ningyi Liao, Zihao Yu, Siqiang Luo et al.
  9. Human-assisted Robotic Policy Refinement via Action Preference Optimization ↗Wenke Xia, Yichu Yang, Hongtao Wu et al.
  10. HumanCrafter: Synergizing Generalizable Human Reconstruction and Semantic 3D Segmentation ↗Panwang Pan, Tingting Shen, Chenxin Li et al.
  11. HumanoidGen: Data Generation for Bimanual Dexterous Manipulation via LLM Reasoning ↗Zhi Jing, Siyuan Yang, Jicong Ao et al.
  12. HyPINO: Multi-Physics Neural Operators via HyperPINNs and the Method of Manufactured Solutions ↗Rafael Bischof, Michal Piovarči, Michael Anton Kraus et al.
  13. HyPlaneHead: Rethinking Tri-plane-like Representations in Full-Head Image Synthesis ↗Heyuan Li, Kenkun Liu, Lingteng Qiu et al.
  14. Hybrid Latent Representations for PDE Emulation ↗Ali Can Bekar, Siddhant Agarwal, Christian Hüttig et al.
  15. Hybrid Re-matching for Continual Learning with Parameter-Efficient Tuning ↗Weicheng Wang, Guoli Jia, Xialei Liu et al.
  16. Hybrid-Balance GFlowNet for Solving Vehicle Routing Problems ↗Ni Zhang, Z. Cao
  17. Hybrid-Collaborative Augmentation and Contrastive Sample Adaptive-Differential Awareness for Robust Attributed Graph Clustering ↗Tianxiang Zhao, Youqing Wang, Jinlu Wang et al.
  18. HybridNorm: Towards Stable and Efficient Transformer Training via Hybrid Normalization ↗Zhijian Zhuo, Yutao Zeng, Ya Wang et al.
  19. HypRL: Reinforcement Learning of Control Policies for Hyperproperties ↗Tzu-Han Hsu, Arshia Rafieioskouei, Borzoo Bonakdarpour
  20. Hyper-GoalNet: Goal-Conditioned Manipulation Policy Learning with HyperNetworks ↗Pei Zhou, Wanting Yao, Qian Luo et al.
  21. HyperMARL: Adaptive Hypernetworks for Multi-Agent RL ↗Kale-ab Tessera, Arrasy Rahman, Amos Storkey et al.
  22. HyperMixup: Hypergraph-Augmented with Higher-order Information Mixup ↗Kaixuan Yao, Zhuo Li, Jianqing Liang et al.
  23. Hyperbolic Dataset Distillation ↗Wenyuan Li, Guang Li, Keisuke Maeda et al.
  24. Hyperparameter Transfer Enables Consistent Gains of Matrix-Preconditioned Optimizers Across Scales ↗Shikai Qiu, Charlie Chen, Hoang Phan et al.
  25. Hyperphantasia: A Benchmark for Evaluating the Mental Visualization Capabilities of Multimodal LLMs ↗Mohammad Shahab Sepehri, Berk Tınaz, Zalan Fabian et al.
  26. HypoBootstrap: A Bootstrapping Framework for Inductive Reasoning ↗Si Chen, Yifei Li, Richong Zhang
  27. IBGS: Image-Based Gaussian Splatting ↗Hoang Chuong Nguyen, Wei Mao, José Manuel Álvarez et al.
  28. ICLScan: Detecting Backdoors in Black-Box Large Language Models via Targeted In-context Illumination ↗Xiaoyi Pang, Xuanyi Hao, Song Guo et al.
  29. ICPC-Eval: Probing the Frontiers of LLM Reasoning with Competitive Programming Contests ↗Shiyi Xu, Yiwen Hu, Yingqian Min et al.
  30. IF-Guide: Influence Function-Guided Detoxification of LLMs ↗Zachary Coalson, Juhan Bae, Nicholas Carlini et al.
  31. IGD: Token Decisiveness Modeling via Information Gain in LLMs for Personalized Recommendation ↗Zijie Lin, Yang Zhang, Xiaoyan Zhao et al.
  32. IMPACT: Irregular Multi-Patch Adversarial Composition Based on Two‑Phase Optimization ↗Zenghui Yang, Xingquan Zuo, Hai Huang et al.
  33. INC: An Indirect Neural Corrector for Auto-Regressive Hybrid PDE Solvers ↗Hao Wei, A. Franz, Bjoern List et al.
  34. IOSTOM: Offline Imitation Learning from Observations via State Transition Occupancy Matching ↗Quang Anh Pham, Janaka Chathuranga Brahmanage, Tien Mai et al.
  35. IPFormer: Visual 3D Panoptic Scene Completion with Context-Adaptive Instance Proposals ↗Markus Gross, Aya Fahmy, Danit Niwattananan et al.
  36. IPSI: Enhancing Structural Inference with Automatically Learned Structural Priors ↗Zhongben Gong, Xiaoqun Wu, Mingyang Zhou
  37. IR-OptSet: An Optimization-Sensitive Dataset for Advancing LLM-Based IR Optimizer ↗Zi Yang, Lei Qiu, Fang Lyu et al.
  38. IRRISIGHT: A Large-Scale Multimodal Dataset and Scalable Pipeline to Address Irrigation and Water Management in Agriculture ↗Nibir Chandra Mandal, Oishee Bintey Hoque, Mandy Wilson et al.
  39. Identifiability of Deep Polynomial Neural Networks ↗Konstantin Usevich, Ricardo Augusto Borsoi, Clara Dérand et al.
  40. Identifying Macro Causal Effects in C-DMGs over DMGs ↗Simon Ferreira, Karim ASSAAD
  41. Identifying interactions across brain areas while accounting for individual-neuron dynamics with a Transformer-based variational autoencoder ↗Qi Xin, Robert E. Kass
  42. Identifying multi-compartment Hodgkin-Huxley models with high-density extracellular voltage recordings ↗Ian Christopher Tanoh, Michael Deistler, Jakob H. Macke et al.
  43. IllumiCraft: Unified Geometry and Illumination Diffusion for Controllable Video Generation ↗Yuanze Lin, Yi-Wen Chen, Yi–Hsuan Tsai et al.
  44. Image Super-Resolution with Guarantees via Conformalized Generative Models ↗Eduardo Adame, Daniel Csillag, Guilherme Tegoni Goedert
  45. Image Token Matters: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing ↗Weixing Wang, Zifeng Ding, Jindong Gu et al.
  46. Image as a World: Generating Interactive World from Single Image via Panoramic Video Generation ↗Dongnan Gui, Xun Guo, Wengang Zhou et al.
  47. ImageSentinel: Protecting Visual Datasets from Unauthorized Retrieval-Augmented Image Generation ↗Ziyuan Luo, Yangyi Zhao, Ka Chun Cheung et al.
  48. Imagine Beyond ! Distributionally Robust Autoencoding for State Space Coverage in Online Reinforcement Learning ↗Nicolas Castanet, Olivier Sigaud, Sylvain Lamprier
  49. Imagined Autocurricula ↗Ahmet H. Güzel, Matthew Thomas Jackson, Jarek Liesen et al.
  50. Imbalances in Neurosymbolic Learning: Characterization and Mitigating Strategies ↗Efthymia Tsamoura, Kaifu Wang, Dan Roth
  51. Imitation Beyond Expectation Using Pluralistic Stochastic Dominance ↗Ali Farajzadeh, Danyal Saeed, Syed M. Abbas et al.
  52. Imitation Learning with Temporal Logic Constraints ↗Zining Fan, He Zhu
  53. Impact of Layer Norm on Memorization and Generalization in Transformers ↗Rishi Singhal, Jung-Eun Kim
  54. Impartial Selection with Predictions ↗Javier Cembrano, Felix Fischer, Max Klimm
  55. Implicit Bias of Spectral Descent and Muon on Multiclass Separable Data ↗Chen Fan, Mark Schmidt, Christos Thrampoulidis
  56. Implicit Modeling for Transferability Estimation of Vision Foundation Models ↗Yaoyan Zheng, Huiqun Wang, Nan Zhou et al.
  57. Implicit-ARAP: Efficient Handle-Guided Neural Field Deformation via Local Patch Meshing ↗Daniele Baieri, Filippo Maggioli, Emanuele Rodolà et al.
  58. Improve Temporal Reasoning in Multimodal Large Language Models via Video Contrastive Decoding ↗Daiqing Qi, Dongliang Guo, Hanzhang Yuan et al.
  59. Improved Algorithms for Fair Matroid Submodular Maximization ↗Sepideh Mahabadi, Sherry Sarkar, Jakub Tarnawski
  60. Improved Algorithms for Overlapping and Robust Clustering of Edge-Colored Hypergraphs: An LP-Based Combinatorial Approach ↗Changyeol Lee, Yongho Shin, Hyung-Chan An
  61. Improved Balanced Classification with Theoretically Grounded Loss Functions ↗Corinna Cortes, Mehryar Mohri, Yutao Zhong
  62. Improved Best-of-Both-Worlds Regret for Bandits with Delayed Feedback ↗Ofir Schlisselberg, Tal Lancewicki, Peter L. Auer et al.
  63. Improved Bounds for Swap Multicalibration and Swap Omniprediction ↗Haipeng Luo, Spandan Senapati, Vatsal Sharan
  64. Improved Confidence Regions and Optimal Algorithms for Online and Offline Linear MNL Bandits ↗Yuxuan Han, José Blanchet, Zhengyuan Zhou
  65. Improved Regret Bounds for Gaussian Process Upper Confidence Bound in Bayesian Optimization ↗Shogo Iwazaki
  66. Improved Regret and Contextual Linear Extension for Pandora's Box and Prophet Inequality ↗Junyan Liu, Ziyun Chen, Kun Wang et al.
  67. Improved Representation Steering for Language Models ↗Zhengxuan Wu, Qinan Yu, Aryaman Arora et al.
  68. Improved Robust Estimation for Erdős-Rényi Graphs: The Sparse Regime and Optimal Breakdown Point ↗Hongjie Chen, Jingqiu Ding, Yiding Hua et al.
  69. Improved Scaling Laws in Linear Regression via Data Reuse ↗Licong Lin, Jingfeng Wu, Peter L. Bartlett
  70. Improved Training Technique for Shortcut Models ↗Anh Nguyen, Viet Nguyen, Duc Vu et al.
  71. Improving Decision Trees through the Lens of Parameterized Local Search ↗Juha Harviainen, Frank O. Sommer, Manuel Sorge
  72. Improving Evolutionary Multi-View Classification via Eliminating Individual Fitness Bias ↗Xinyan Liang, Shuai Li, Qian Guo et al.
  73. Improving Generalization of Neural Combinatorial Optimization for Vehicle Routing Problems via Test-Time Projection Learning ↗Yuanyao Chen, Rongsheng Chen, Fu Luo et al.
  74. Improving LLM General Preference Alignment via Optimistic Online Mirror Descent ↗Yuheng Zhang, Dian Yu, Tao Ge et al.
  75. Improving Model Representation and Reducing KV Cache via Skip Connections with First Value Heads ↗Zhoutong Wu, Yuan Zhang, Yiming Dong et al.
  76. Improving Model-Based Reinforcement Learning by Converging to Flatter Minima ↗Shrinivas Ramasubramanian, Benjamin Freed, Alexandre Capone et al.
  77. Improving Monte Carlo Tree Search for Symbolic Regression ↗Zhengyao Huang, Daniel Zhengyu Huang, Tiannan Xiao et al.
  78. Improving Perturbation-based Explanations by Understanding the Role of Uncertainty Calibration ↗Thomas W. Decker, Volker Tresp, Florian Buettner
  79. Improving Progressive Generation with Decomposable Flow Matching ↗Moayed Haji-Ali, Willi Menapace, Ivan Skorokhodov et al.
  80. Improving Regret Approximation for Unsupervised Dynamic Environment Generation ↗Harry Mead, Bruno Lacerda, Jakob Foerster et al.
  81. Improving Reward Models with Proximal Policy Exploration for Preference-Based Reinforcement Learning ↗Yiwen Zhu, Jinyi Liu, Pengjie Gu et al.
  82. Improving Target Sound Extraction via Disentangled Codec Representations with Privileged Knowledge Distillation ↗Dail Kim, Joon-Hyuk Chang
  83. Improving Time Series Forecasting via Instance-aware Post-hoc Revision ↗Zhiding Liu, Mingyue Cheng, Guanhao Zhao et al.
  84. Improving planning and MBRL with temporally-extended actions ↗Palash Chatterjee, Roni Khardon
  85. Improving the Euclidean Diffusion Generation of Manifold Data by Mitigating Score Function Singularity ↗Zichen Liu, Wei Zhang, Tiejun Li
  86. Improving the Generation and Evaluation of Synthetic Data for Downstream Medical Causal Inference ↗Harry Amad, Zhaozhi Qian, Dennis Frauen et al.
  87. In Search of Adam’s Secret Sauce ↗Antonio Orvieto, Robert Gower
  88. In Silico Mapping of Visual Categorical Selectivity Across the Whole Brain ↗Ethan Hwang, Hossein Adeli, Wenxuan Guo et al.
  89. In-Context Compositional Learning vis Sparse Coding Transformer ↗Wei Chen, Jingxi Yu, Zichen Miao et al.
  90. In-Context Fully Decentralized Cooperative Multi-Agent Reinforcement Learning ↗Chao Li, Bingkun Bao, Yang Gao
  91. In-Context Learning Strategies Emerge Rationally ↗Daniel Wurgaft, Ekdeep Singh Lubana, Core Francisco Park et al.
  92. In-Context Learning of Stochastic Differential Equations with Foundation Inference Models ↗Patrick Seifner, Kostadin Cvejoski, David Berghaus et al.
  93. Incentive-Aware Dynamic Resource Allocation under Long-Term Cost Constraints ↗Yan Dai, Negin Golrezaei, Patrick Jaillet
  94. Incentivizing Desirable Effort Profiles in Strategic Classification: The Role of Causality and Uncertainty ↗Valia Efthymiou, Chara Podimata, Diptangshu Sen et al.
  95. Incentivizing LLMs to Self-Verify Their Answers ↗Fuxiang Zhang, Jiacheng Xu, Chaojie Wang et al.
  96. Incentivizing Time-Aware Fairness in Data Sharing ↗Jiangwei Chen, Kieu Thao Nguyen Pham, Rachael Hwee Ling Sim et al.
  97. Incentivizing Truthful Language Models via Peer Elicitation Games ↗Baiting Chen, Tong Zhu, Jiale Han et al.
  98. Incomplete Multi-view Clustering via Hierarchical Semantic Alignment and Cooperative Completion ↗Xiaojian Ding, Lin Zhao, Xian Li et al.
  99. Incomplete Multi-view Deep Clustering with Data Imputation and Alignment ↗Jiyuan Liu, Xinwang Liu, Xinhang Wan et al.
  100. Incremental Sequence Classification with Temporal Consistency ↗Lucas Maystre, Gabriel Barello, Tudor Berariu et al.

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