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NeurIPS 2025: all accepted papers

5,819 papers · page 33 of 59 · the most cited first · ← NeurIPS 2025

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  1. Event-Guided Consistent Video Enhancement with Modality-Adaptive Diffusion Pipeline ↗Kanghao Chen, Zixin Zhang, Guoqiang Liang et al.
  2. Event-based HDR Structured Light ↗Jiacheng Fu, Yue Li, Xin Dong et al.
  3. EventMG: Efficient Multilevel Mamba-Graph Learning for Spatiotemporal Event Representation ↗Sheng Wu, Lin Jin, Hui Feng et al.
  4. Every Rollout Counts: Optimal Resource Allocation for Efficient Test-Time Scaling ↗Xinglin Wang, Yiwei Li, Shaoxiong Feng et al.
  5. Evolution of Information in Interactive Decision Making: A Case Study for Multi-Armed Bandits ↗Yuzhou Gu, Yanjun Han, Jian Qian
  6. Evolutionary Prediction Games ↗Eden Saig, Nir Rosenfeld
  7. Evolutionary Reasoning Does Not Arise in Standard Usage of Protein Language Models ↗Yasha Ektefaie, Andrew Shen, Lavik Jain et al.
  8. Evolving and Regularizing Meta-Environment Learner for Fine-Grained Few-Shot Class-Incremental Learning ↗Li-Jun Zhao, Zhen-Duo Chen, Yongxin Wang et al.
  9. ExPO: Unlocking Hard Reasoning with Self-Explanation-Guided Reinforcement Learning ↗Ruiyang Zhou, Shuozhe Li, Amy Zhang et al.
  10. Exact Expressive Power of Transformers with Padding ↗William Merrill, Ashish Sabharwal
  11. Exact and Linear Convergence for Federated Learning under Arbitrary Client Participation is Attainable ↗Bicheng Ying, Zhe Li, Haibo Yang
  12. Explainable Reinforcement Learning from Human Feedback to Improve Alignment ↗Shicheng Liu, Siyuan Xu, Wenjie Qiu et al.
  13. Explainably Safe Reinforcement Learning ↗Sabine Rieder, Stefan Pranger, Debraj Chakraborty et al.
  14. Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf Interactions ↗Hubert Baniecki, Maximilian Muschalik, Fabian Fumagalli et al.
  15. Explaining and Mitigating Crosslingual Tokenizer Inequities ↗Catherine Arnett, Tyler A. Chang, Stella Biderman et al.
  16. Explaining the Law of Supply and Demand via Online Learning ↗Stratis Skoulakis
  17. Exploiting Dynamic Sparsity in Einsum ↗Christoph Staudt, Mark Blacher, Tim Hoffmann et al.
  18. Exploiting LLMs for Automatic Hypothesis Assessment via a Logit-Based Calibrated Prior ↗Yue Ray Gong, Raul Castro Fernandez
  19. Exploiting the Asymmetric Uncertainty Structure of Pre-trained VLMs on the Unit Hypersphere ↗Li Ju, Max Andersson, Stina Fredriksson et al.
  20. Exploration from a Primal-Dual Lens: Value-Incentivized Actor-Critic Methods for Sample-Efficient Online RL ↗Tong Yang, Bo Dai, Lin Xiao et al.
  21. Exploration via Feature Perturbation in Contextual Bandits ↗Seouh-won Yi, Min-hwan Oh
  22. Explore In-Context Message Passing Operator for Graph Neural Networks in A Mean Field Game ↗Tingting Dan, Xinwei Huang, Won Hwa Kim et al.
  23. Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback ↗Wei Shen, Guanlin Liu, Yu Yue et al.
  24. Exploring Diffusion Transformer Designs via Grafting ↗Keshigeyan Chandrasegaran, Michael Poli, Daniel Y. Fu et al.
  25. Exploring Landscapes for Better Minima along Valleys ↗Tong Zhao, Jiacheng Li, Yuanchang Zhou et al.
  26. Exploring Polyglot Harmony: On Multilingual Data Allocation for Large Language Models Pretraining ↗Ping Yi Guo, Yubing Ren, Binbin Liu et al.
  27. Exploring Semantic-constrained Adversarial Example with Instruction Uncertainty Reduction ↗Jin Hu, Jiakai Wang, Linna Jing et al.
  28. Exploring Structural Degradation in Dense Representations for Self-supervised Learning ↗Siran Dai, Qianqian Xu, Peisong Wen et al.
  29. Exploring the Design Space of Diffusion Bridge Models ↗Shaorong Zhang, Yuanbin Cheng, Greg Ver Steeg
  30. Exploring the Noise Robustness of Online Conformal Prediction ↗H. Xi, Kangdao Liu, Hao Zeng et al.
  31. Exponential Convergence Guarantees for Iterative Markovian Fitting ↗Marta Gentiloni Silveri, Giovanni Conforti, Alain Durmus
  32. Extracting task-relevant preserved dynamics from contrastive aligned neural recordings ↗Yiqi Jiang, Kaiwen Sheng, Yujia Gao et al.
  33. Extragradient Method for (L0, L1)-Lipschitz Root-finding Problems ↗Sayantan Choudhury, Nicolas Loizou
  34. Extrapolation by Association: Length Generalization Transfer In Transformers ↗Ziyang Cai, Nayoung Lee, Avi Schwarzschild et al.
  35. Eyes Wide Open: Ego Proactive Video-LLM for Streaming Video ↗Xueyang Yu, Cheng Shi, Yang Wang et al.
  36. F-Adapter: Frequency-Adaptive Parameter-Efficient Fine-Tuning in Scientific Machine Learning ↗Hangwei Zhang, Chun Kang, Yan Wang et al.
  37. FACE: Faithful Automatic Concept Extraction ↗Dipkamal Bhusal, Michael Clifford, Sara Rampazzi et al.
  38. FACT: Mitigating Inconsistent Hallucinations in LLMs via Fact-Driven Alternating Code-Text Training ↗Xinxin You, Qixin Sun, Chenwei Yan et al.
  39. FADRM: Fast and Accurate Data Residual Matching for Dataset Distillation ↗Jiacheng Cui, Xinyue Bi, Yaxin Luo et al.
  40. FALCON: Fine-grained Activation Manipulation by Contrastive Orthogonal Unalignment for Large Language Model ↗Jinwei Hu, Zhenglin Huang, Xiangyu Yin et al.
  41. FALQON: Accelerating LoRA Fine-tuning with Low-Bit Floating-Point Arithmetic ↗Kanghyun Choi, Hyeyoon Lee, SunJong Park et al.
  42. FAME: Adaptive Functional Attention with Expert Routing for Function-on-Function Regression ↗Yifei Gao, Yong Chen, Chen Zhang
  43. FANS: A Flatness-Aware Network Structure for Generalization in Offline Reinforcement Learning ↗Da Wang, Yi Ma, Ting Guo et al.
  44. FAPEX: Fractional Amplitude-Phase Expressor for Robust Cross-Subject Seizure Prediction ↗Ruizhe Zheng, Lingyan Mao, Dingding Han et al.
  45. FAST: Foreground‑aware Diffusion with Accelerated Sampling Trajectory for Segmentation‑oriented Anomaly Synthesis ↗Xichen Xu, Yanshu Wang, Jinbao Wang et al.
  46. FEAT: Free energy Estimators with Adaptive Transport ↗Yuanqi Du, Jiajun He, Francisco Vargas et al.
  47. FEEDBACK FRICTION: LLMs Struggle to Fully Incorporate External Feedback ↗Dongwei Jiang, Bowei Zhang, Andrew Wang et al.
  48. FGBench: A Dataset and Benchmark for Molecular Property Reasoning at Functional Group-Level in Large Language Models ↗Xuan Liu, Siru Ouyang, Xianrui Zhong et al.
  49. FHGS: Feature-Homogenized Gaussian Splatting ↗qigeng duan, Benyun Zhao, Mingqiao Han et al.
  50. FIGRDock: Fast Interaction-Guided Regression for Flexible Docking ↗Shikun Feng, Bicheng Lin, Yuanhuan Mo et al.
  51. FLAME: Fast Long-context Adaptive Memory for Event-based Vision ↗Biswadeep Chakraborty, Saibal Mukhopadhyay
  52. FNOPE: Simulation-based inference on function spaces with Fourier Neural Operators ↗Guy Moss, Leah Sophie Muhle, Reinhard Drews et al.
  53. FOCUS: Internal MLLM Representations for Efficient Fine-Grained Visual Question Answering ↗Liangyu Zhong, Fabio Philipp Rosenthal, Joachim Sicking et al.
  54. FOCUS: Unified Vision-Language Modeling for Interactive Editing Driven by Referential Segmentation ↗Fan Yang, Yousong Zhu, Xin Li et al.
  55. FPSAttention: Training-Aware FP8 and Sparsity Co-Design for Fast Video Diffusion ↗Akide Liu, Zeyu Zhang, Zhexin Li et al.
  56. FRAM: Frobenius-Regularized Assignment Matching with Mixed-Precision Computing ↗Binrui Shen, Yuan Liang, Shengxin Zhu
  57. FSEO: Few-Shot Evolutionary Optimization via Meta-Learning for Expensive Multi-Objective Optimization ↗Xunzhao Yu
  58. FaCT: Faithful Concept Traces for Explaining Neural Network Decisions ↗Amin Parchami-Araghi, Sukrut Rao, Jonas Fischer et al.
  59. Fact-R1: Towards Explainable Video Misinformation Detection with Deep Reasoning ↗Fanrui Zhang, Dian Li, Qiang Zhang et al.
  60. Factor Decorrelation Enhanced Data Removal from Deep Predictive Models ↗Wenhao Yang, Lin Li, Xiaohui Tao et al.
  61. Factorio Learning Environment ↗Jack Hopkins, Märt Bakler, Akbir Khan
  62. Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation ↗Guoqing Hu, An Zhang, Shuchang Liu et al.
  63. Failure Prediction at Runtime for Generative Robot Policies ↗Ralf Römer, Adrian Kobras, Luca Worbis et al.
  64. Failure by Interference: Language Models Make Balanced Parentheses Errors When Faulty Mechanisms Overshadow Sound Ones ↗Daking Rai, Samuel Miller, Kevin Moran et al.
  65. FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes ↗Christodoulos Constantinides, Dhaval J. Patel, Shuxin Lin et al.
  66. Fair Continuous Resource Allocation with Equality of Impact ↗Blossom Metevier, Dennis Wei, Karthikeyan Natesan Ramamurthy et al.
  67. Fair Cooperation in Mixed-Motive Games via Conflict-Aware Gradient Adjustment ↗Woojun Kim, Katia P. Sycara
  68. Fair Matroid Selection ↗Kiarash Banihashem, MohammadTaghi Hajiaghayi, Danny Mittal
  69. Fair Minimum Labeling: Efficient Temporal Network Activations for Reachability and Equity ↗Lutz Oettershagen, Othon Michail
  70. Fair Representation Learning with Controllable High Confidence Guarantees via Adversarial Inference ↗Yuhong Luo, Austin T. Hoag, Xintong Wang et al.
  71. FairDD: Fair Dataset Distillation ↗Qihang Zhou, Shenhao Fang, Shibo He et al.
  72. FairNet: Dynamic Fairness Correction without Performance Loss via Contrastive Conditional LoRA ↗Songqi Zhou, Zeyuan Liu, Benben Jiang
  73. Fairness-Regularized Online Optimization with Switching Costs ↗Pengfei Li, Yuelin Han, Adam Wierman et al.
  74. Fairness-aware Anomaly Detection via Fair Projection ↗Feng Xiao, Xiaoying Tang, Jicong Fan
  75. Fairness-aware Bayes Optimal Functional Classification ↗Xiaoyu Hu, Gengyu Xue, Zhenhua Lin et al.
  76. Faithful Dynamic Imitation Learning from Human Intervention with Dynamic Regret Minimization ↗Bo Ling, Zhengyu Gan, Wanyuan Wang et al.
  77. Faithful Group Shapley Value ↗Kiljae K. Lee, Ziqi Liu, Weijing Tang et al.
  78. Fantastic Bugs and Where to Find Them in AI Benchmarks ↗Sang Truong, Yuheng Tu, Michael Hardy et al.
  79. Fantastic Features and Where to Find Them: A Probing Method to combine Features from Multiple Foundation Models ↗Benjamin Ramtoula, Pierre–Yves Lajoie, Paul M. Newman et al.
  80. Far from the Shallow: Brain-Predictive Reasoning Embedding through Residual Disentanglement ↗Linyang He, Tianjun Zhong, Richard Antonello et al.
  81. Fast Data Attribution for Text-to-Image Models ↗Sheng-Yu Wang, Aaron Hertzmann, Alexei A. Efros et al.
  82. Fast Last-Iterate Convergence of SGD in the Smooth Interpolation Regime ↗Amit Attia, Matan Schliserman, Uri Sherman et al.
  83. Fast Local Search Algorithms for Clustering with Adaptive Sampling and Bandit Strategies ↗Junyu Huang, Zhen Zhang, Beirong Cui et al.
  84. Fast MRI for All: Bridging Access Gaps by Training without Raw Data ↗Yaşar Utku Alçalar, Merve Gülle, Mehmet Akçakaya
  85. Fast Monte Carlo Tree Diffusion: 100× Speedup via Parallel and Sparse Planning ↗Jaesik Yoon, Hyeonseo Cho, Yoshua Bengio et al.
  86. Fast Non-Log-Concave Sampling under Nonconvex Equality and Inequality Constraints with Landing ↗Kijung Jeon, Michael Muehlebach, Molei Tao
  87. Fast Projection-Free Approach (without Optimization Oracle) for Optimization over Compact Convex Set ↗Chenghao Liu, Enming Liang, Minghua Chen
  88. Fast Rate Bounds for Multi-Task and Meta-Learning with Different Sample Sizes ↗Hossein Zakerinia, Christoph H. Lampert
  89. Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms ↗Yinuo Ren, Haoxuan Chen, Yuchen Zhu et al.
  90. Fast Training of Large Kernel Models with Delayed Projections ↗Amirhesam Abedsoltan, Siyuan Ma, Parthe Pandit et al.
  91. Fast Zeroth-Order Convex Optimization with Quantum Gradient Methods ↗Junhyung Lyle Kim, Brandon Augustino, Dylan Herman et al.
  92. Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuning ↗Yeongbin Seo, Dongha Lee, Jaehyung Kim et al.
  93. Fast attention mechanisms: a tale of parallelism ↗Jingwen Liu, Hantao Yu, Clayton Sanford et al.
  94. Fast exact recovery of noisy matrix from few entries: the infinity norm approach ↗BaoLinh Tran, Van Vu
  95. FastDINOv2: Frequency Based Curriculum Learning Improves Robustness and Training Speed ↗Jiaqi Zhang, Juntuo Wang, Zhixin Sun et al.
  96. FastLongSpeech: Enhancing Large Speech-Language Models for Efficient Long-Speech Processing ↗Shoutao Guo, Shaolei Zhang, Qingkai Fang et al.
  97. Faster Algorithms for Structured John Ellipsoid Computation ↗Yang Cao, Xiaoyu Li, Zhao Song et al.
  98. Faster Generic Identification in Tree-Shaped Structural Causal Models ↗Yasmine Briefs, Markus Bläser
  99. Feasibility-Aware Decision-Focused Learning for Predicting Parameters in the Constraints ↗Jayanta Mandi, Marianne Defresne, Senne Berden et al.
  100. Feature Unlearning: Theoretical Foundations and Practical Applications with Shuffling ↗Yue Yang, Jinhao Li, Hao Wang

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