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NeurIPS 2025: all accepted papers

5,819 papers · page 51 of 59 · the most cited first · ← NeurIPS 2025

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  1. SafeVid: Toward Safety Aligned Video Large Multimodal Models ↗Yixu Wang, Jiaxin Song, Yifeng Gao et al.
  2. Safely Learning Controlled Stochastic Dynamics ↗Luc Brogat-Motte, Alessandro Rudi, Riccardo Bonalli
  3. Safety Depth in Large Language Models: A Markov Chain Perspective ↗Ching-Chia Kao, Chia-Mu Yu, Chun-Shien Lu et al.
  4. Sample Complexity of Distributionally Robust Average-Reward Reinforcement Learning ↗Zijun Chen, Shengbo Wang, Nian Si
  5. Sample and Map from a Single Convex Potential: Generation using Conjugate Moment Measures ↗Nina Vesseron, Louis Béthune, Marco Cuturi
  6. Sample-Adaptivity Tradeoff in On-Demand Sampling ↗Nika Haghtalab, Omar Montasser, Mingda Qiao
  7. Sample-Conditional Coverage in Split-Conformal Prediction ↗John C. Duchi
  8. Sample-Efficient Multi-Round Generative Data Augmentation for Long-Tail Instance Segmentation ↗Byunghyun Kim, Minyoung Bae, Jae-Gil Lee
  9. Sample-Efficient Tabular Self-Play for Offline Robust Reinforcement Learning ↗Na Li, Zewu Zheng, Wei Ni et al.
  10. Sample-efficient Learning of Concepts with Theoretical Guarantees: from Data to Concepts without Interventions ↗Hidde Fokkema, Tim van Erven, Sara Magliacane
  11. Sampled Estimators For Softmax Must Be Biased ↗Li-Chung Lin, Yaxu Liu, Chih-Jen Lin
  12. Sampling by averaging: A multiscale approach to score estimation ↗Paula Cordero-Encinar, A. Duncan, Sebastian Reich et al.
  13. Sampling from multi-modal distributions with polynomial query complexity in fixed dimension via reverse diffusion ↗Adrien Vacher, Omar Chehab, Anna Korba
  14. Sampling-Efficient Test-Time Scaling: Self-Estimating the Best-of-N Sampling in Early Decoding ↗Yiming Wang, Pei Zhang, Siyuan Huang et al.
  15. Scaffolding Dexterous Manipulation with Vision-Language Models ↗Vincent de Bakker, Joey Hejna, Tyler Ga Wei Lum et al.
  16. Scalable Cross-View Sample Alignment for Multi-View Clustering with View Structure Similarity ↗Jun Wang, Zhenglai Li, Chang Tang et al.
  17. Scalable Evaluation and Neural Models for Compositional Generalization ↗Giacomo Camposampiero, Pietro Barbiero, Michael Hersche et al.
  18. Scalable Exploration via Ensemble++ ↗Yingru Li, Jiawei Xu, Baoxiang Wang et al.
  19. Scalable Feature Learning on Huge Knowledge Graphs for Downstream Machine Learning ↗Félix Lefebvre, Gael P. Varoquaux
  20. Scalable In-context Ranking with Generative Models ↗Nilesh Gupta, Chong You, Srinadh Bhojanapalli et al.
  21. Scalable Neural Incentive Design with Parameterized Mean-Field Approximation ↗Nathan Corecco, Batuhan Yardim, Vinzenz Thoma et al.
  22. Scalable Neural Network Geometric Robustness Validation via Hölder Optimisation ↗Yanghao Zhang, Panagiotis Kouvaros, Alessio R. Lomuscio
  23. Scalable Policy-Based RL Algorithms for POMDPs ↗Ameya Anjarlekar, S. Rasoul Etesami, R. Srikant
  24. Scalable Signature Kernel Computations via Local Neumann Series Expansions ↗Matthew Tamayo-Rios, Alexander Schell, Rima Alaifari
  25. Scalable Valuation of Human Feedback through Provably Robust Model Alignment ↗Masahiro Fujisawa, Masaki Adachi, Michael A Osborne
  26. Scalable and Cost-Efficient de Novo Template-Based Molecular Generation ↗Piotr Gaiński, Oussama Boussif, Andrei Rekesh et al.
  27. Scalable and adaptive prediction bands with kernel sum-of-squares ↗Louis Allain, Sébastien da Veiga, Brian Staber
  28. Scale-invariant attention ↗Ben Anson, Xi Wang, Laurence Aitchison
  29. Scaling Code-Assisted Chain-of-Thoughts and Instructions for Model Reasoning ↗Honglin Lin, Qizhi Pei, Zhuoshi Pan et al.
  30. Scaling Data-Driven Probabilistic Robustness Analysis for Semantic Segmentation Neural Networks ↗Navid Hashemi, Samuel Sasaki, İpek Oğuz et al.
  31. Scaling Diffusion Transformers Efficiently via μP ↗Chenyu Zheng, Xinyu Zhang, Rongzhen Wang et al.
  32. Scaling Embedding Layers in Language Models ↗Dahua Yu, Edith Cohen, Badih Ghazi et al.
  33. Scaling Epidemic Inference on Contact Networks: Theory and Algorithms ↗Guanghui Min, Yinhan He, Chen Chen
  34. Scaling Language-centric Omnimodal Representation Learning ↗Chenghao Xiao, Hou Pong Chan, Hao Zhang et al.
  35. Scaling Law with Learning Rate Annealing ↗Howe Tissue, Venus Wang, Lu Wang
  36. Scaling Laws for Gradient Descent and Sign Descent for Linear Bigram Models under Zipf’s Law ↗Frederik Künstner, Francis Bach
  37. Scaling Laws for Optimal Data Mixtures ↗Mustafa Shukor, Louis Béthune, Dan Busbridge et al.
  38. Scaling Offline RL via Efficient and Expressive Shortcut Models ↗Nicolas Espinosa Dice, Y. Zhang, Yiding Chen et al.
  39. Scaling Physical Reasoning with the PHYSICS Dataset ↗Shenghe Zheng, Qianjia Cheng, Junchi Yao et al.
  40. Scaling Up Active Testing to Large Language Models ↗Gabrielle Berrada, Jannik Kossen, Freddie Bickford Smith et al.
  41. Scaling and context steer LLMs along the same computational path as the human brain ↗Joséphine Raugel, Jérémy Rapin, Stéphane d’Ascoli et al.
  42. Scaling can lead to compositional generalization ↗Florian Redhardt, Yassir Akram, Simon Schug
  43. SceneForge: Enhancing 3D-text alignment with Structured Scene Compositions ↗Cristian Sbrolli, Matteo Matteucci
  44. Scent of Knowledge: Optimizing Search-Enhanced Reasoning with Information Foraging ↗Hongjin Qian, Zheng Liu
  45. Schrödinger Bridge Matching for Tree-Structured Costs and Entropic Wasserstein Barycentres ↗Samuel Howard, Peter Potaptchik, George Deligiannidis
  46. SciArena: An Open Evaluation Platform for Non-Verifiable Scientific Literature-Grounded Tasks ↗Yilun Zhao, Kaiyan Zhang, Tiansheng Hu et al.
  47. Score-Based Diffusion Modeling for Nonparametric Empirical Bayes in Heteroscedastic Gaussian Mixtures ↗Gongyu Chen, Ying Cui
  48. Score-informed Neural Operator for Enhancing Ordering-based Causal Discovery ↗Jiyeon Kang, Songseong Kim, Chanhui Lee et al.
  49. Sculpting Features from Noise: Reward-Guided Hierarchical Diffusion for Task-Optimal Feature Transformation ↗Nanxu Gong, Zijun Li, Sixun Dong et al.
  50. SeCon-RAG: A Two-Stage Semantic Filtering and Conflict-Free Framework for Trustworthy RAG ↗Xiaonan Si, Meilin Zhu, Simeng Qin et al.
  51. SeRL: Self-play Reinforcement Learning for Large Language Models with Limited Data ↗Wenkai Fang, Shunyu Liu, Yang Zhou et al.
  52. Searching Efficient Semantic Segmentation Architectures via Dynamic Path Selection ↗Yuxi Liu, Min Liu, Shuai Jiang et al.
  53. SeasonBench-EA: A Multi-Source Benchmark for Seasonal Prediction and Numerical Model Post-Processing in East Asia ↗Mengxuan Chen, Li Li, Zou Ziheng et al.
  54. Second-Order Convergence in Private Stochastic Non-Convex Optimization ↗Youming Tao, Zuyuan Zhang, Dongxiao Yu et al.
  55. Second-order Optimization under Heavy-Tailed Noise: Hessian Clipping and Sample Complexity Limits ↗Abdurakhmon Sadiev, Peter Richtárik, Ilyas Fatkhullin
  56. Securing the Language of Life: Inheritable Watermarks from DNA Language Models to Proteins ↗Zaixi Zhang, Ruofan Jin, Le Cong et al.
  57. Security Challenges in AI Agent Deployment: Insights from a Large Scale Public Competition ↗Andy Zou, Maxwell Lin, Eliot Krzysztof Jones et al.
  58. See&Trek: Training-Free Spatial Prompting for Multimodal Large Language Model ↗Pengteng Li, Pinhao Song, Wuyang Li et al.
  59. Seeds of Structure: Patch PCA Reveals Universal Compositional Cues in Diffusion Models ↗Qingsong Wang, Zhengchao Wan, Misha Belkin et al.
  60. Seeing Sound, Hearing Sight: Uncovering Modality Bias and Conflict of AI models in Sound Localization ↗Yanhao Jia, Ji Xie, S Jivaganesh et al.
  61. Seeing the Wind from a Falling Leaf ↗Zhiyuan Gao, Jiageng Mao, Hong-Xing Yu et al.
  62. Seemingly Redundant Modules Enhance Robust Odor Learning in Fruit Flies ↗Haiyang Li, Liao Yu, Qiang Yu et al.
  63. SeerAttention: Self-distilled Attention Gating for Efficient Long-context Prefilling ↗Yizhao Gao, Zhichen Zeng, Dayou Du et al.
  64. Seg-VAR:Image Segmentation with Visual Autoregressive Modeling ↗Rongkun Zheng, Qi Lü, Xi Chen et al.
  65. Seg2Any: Open-set Segmentation-Mask-to-Image Generation with Precise Shape and Semantic Control ↗Danfeng Li, Hui Zhang, Sheng Wang et al.
  66. SegMASt3R: Geometry Grounded Segment Matching ↗Rohit Jayanti, Swayam Agrawal, Vansh Garg et al.
  67. Segment Anything Model Meets Semi-supervised Medical Image Segmentation: A Novel Perspective ↗Haifeng Zhao, Haiyang Li, Lei-Lei Ma et al.
  68. Segment then Splat: Unified 3D Open-Vocabulary Segmentation via Gaussian Splatting ↗Yiren Lu, Yunlai Zhou, Yiran Qiao et al.
  69. Selective Learning for Deep Time Series Forecasting ↗Yisong Fu, Zezhi Shao, Chengqing Yu et al.
  70. Self Iterative Label Refinement via Robust Unlabeled Learning ↗Hikaru Asano, Tadashi Kozuno, Yukino Baba
  71. Self supervised learning for in vivo localization of microelectrode arrays using raw local field potential ↗Tianxi He, Malhar Patel, Chenyi Li et al.
  72. Self-Assembling Graph Perceptrons ↗Jialong Chen, Tong Wang, Bowen Deng et al.
  73. Self-Boost via Optimal Retraining: An Analysis via Approximate Message Passing ↗Adel Javanmard, Rudrajit Das, Alessandro Epasto et al.
  74. Self-Calibrating BCIs: Ranking and Recovery of Mental Targets Without Labels ↗Jonathan Grizou, Carlos de la Torre‐Ortiz, Tuukka Ruotsalo
  75. Self-Evolving Pseudo-Rehearsal for Catastrophic Forgetting with Task Similarity in LLMs ↗Jun Wang, Liang Ding, Shuai Wang et al.
  76. Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks ↗Vishnu Sarukkai, Zhiqiang Xie, Kayvon Fatahalian
  77. Self-Guided Hierarchical Exploration for Generalist Foundation Model Web Agents ↗Qianlan Yang, XJ Wang, Danielle Perszyk et al.
  78. Self-Improving Embodied Foundation Models ↗Seyed Kamyar Seyed Ghasemipour, Ayzaan Wahid, Jonathan Tompson et al.
  79. Self-Perturbed Anomaly-Aware Graph Dynamics for Multivariate Time-Series Anomaly Detection ↗Jinyu Cai, Yuan Xie, Glynnis Lim et al.
  80. Self-Refining Language Model Anonymizers via Adversarial Distillation ↗Kyuyoung Kim, Hyunjun Jeon, Jinwoo Shin
  81. Self-Supervised Contrastive Learning is Approximately Supervised Contrastive Learning ↗Achleshwar Luthra, Tianbao Yang, Tomer Galanti
  82. Self-Supervised Discovery of Neural Circuits in Spatially Patterned Neural Responses with Graph Neural Networks ↗Kijung Yoon
  83. Self-Supervised Learning of Motion Concepts by Optimizing Counterfactuals ↗Stefan Stojanov, David Wendt, Seungwoo Kim et al.
  84. Self-Training with Dynamic Weighting for Robust Gradual Domain Adaptation ↗Zixi Wang, Yushe Cao, Yubo Huang et al.
  85. Self-Verification Provably Prevents Model Collapse in Recursive Synthetic Training ↗Shi Fu, Yingjie Wang, Yuzhu Chen et al.
  86. Self-alignment of Large Video Language Models with Refined Regularized Preference Optimization ↗Pritam Sarkar, Ali Etemad
  87. Self-diffusion for Solving Inverse Problems ↗Guanxiong Luo, Shoujin Huang
  88. Self-supervised Blending Structural Context of Visual Molecules for Robust Drug Interaction Prediction ↗Tengfei Ma, Kun Chen, Yongsheng Zang et al.
  89. Selftok-Zero: Reinforcement Learning for Visual Generation via Discrete and Autoregressive Visual Tokens ↗Bohan Wang, Mingze Zhou, Zhongqi Yue et al.
  90. Semantic Representation Attack against Aligned Large Language Models ↗Jiawei Lian, Pan Jianhong, Lefan Wang et al.
  91. Semantic-KG: Using Knowledge Graphs to Construct Benchmarks for Measuring Semantic Similarity ↗Qiyao Wei, Edward Morrell, Lea Goetz et al.
  92. Semantic-guided Diverse Decoding for Large Language Model ↗Weijie Shi, Yue Li Cui, Yaguang Wu et al.
  93. Semi-infinite Nonconvex Constrained Min-Max Optimization ↗Cody Melcher, Zeinab Alizadeh, Lindsey Hiett et al.
  94. Semi-supervised Vertex Hunting, with Applications in Network and Text Analysis ↗Yicong Jiang, Zheng Tracy Ke
  95. SeniorTalk: A Chinese Conversation Dataset with Rich Annotations for Super-Aged Seniors ↗chen yang, Hui Wang, Shiyao Wang et al.
  96. SentinelKilnDB: A Large-Scale Dataset and Benchmark for OBB Brick Kiln Detection in South Asia Using Satellite Imagery ↗Rishabh Mondal, Jeet Parab, Heer Kubadia et al.
  97. Separating the 'what' and 'how' of compositional computation to enable reuse and continual learning ↗Haozhe Shan, Sun Minni, Lea Duncker
  98. Sequence Modeling with Spectral Mean Flows ↗Jin Woo Kim, Max Beier, Petar Bevanda et al.
  99. Sequential Attention-based Sampling for Histopathological Analysis ↗G Tarun, Naman Malpani, Gugan Thoppe et al.
  100. Sequential Monte Carlo for Policy Optimization in Continuous POMDPs ↗Hany Abdulsamad, Sahel Iqbal, Simo Särkkä

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