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NeurIPS 2025: all accepted papers

5,819 papers · page 56 of 59 · the most cited first · ← NeurIPS 2025

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  1. Training-Free Safe Denoisers for Safe Use of Diffusion Models ↗Mingyu Kim, Dongjun Kim, Amman Yusuf et al.
  2. Training-Free Safe Text Embedding Guidance for Text-to-Image Diffusion Models ↗Byeonghu Na, Mina Kang, Jiseok Kwak et al.
  3. Training-free Online Video Step Grounding ↗Luca Zanella, Massimiliano Mancini, Yiming Wang et al.
  4. TrajAgent: An LLM-Agent Framework for Trajectory Modeling via Large-and-Small Model Collaboration ↗Yuwei Du, Jie Feng, Jie Zhao et al.
  5. TrajMamba: An Efficient and Semantic-rich Vehicle Trajectory Pre-training Model ↗Yichen Liu, Yan Lin, Shengnan Guo et al.
  6. Trajectory Balance with Asynchrony: Decoupling Exploration and Learning for Fast, Scalable LLM Post-Training ↗Brian R. Bartoldson, Siddarth Venkatraman, James Diffenderfer et al.
  7. Trajectory Bellman Residual Minimization: A Simple Value-Based Method for LLM Reasoning ↗Yurun Yuan, Fan Chen, Zeyu Jia et al.
  8. Trajectory Graph Learning: Aligning with Long Trajectories in Reinforcement Learning Without Reward Design ↗Yunfan Li, Eric Liu, Lin Yang
  9. TranSUN: A Preemptive Paradigm to Eradicate Retransformation Bias Intrinsically from Regression Models in Recommender Systems ↗Jiahao Yu, Haozhuang Liu, Yeqiu Yang et al.
  10. Trans-EnV: A Framework for Evaluating the Linguistic Robustness of LLMs Against English Varieties ↗Jiyoung Lee, Seungho Kim, Jieun Han et al.
  11. TransMLA: Migrating GQA Models to MLA with Full DeepSeek Compatibility and Speedup ↗Fanxu Meng, Pingzhi Tang, Zengwei Yao et al.
  12. Transcending Cost-Quality Tradeoff in Agent Serving via Session-Awareness ↗Yanyu Ren, Li Chen, Dan Li et al.
  13. Transductive Conformal Inference for Full Ranking ↗Jean-Baptiste Fermanian, Pierre Humbert, Gilles Blanchard
  14. Transfer Learning for Benign Overfitting in High-Dimensional Linear Regression ↗Yeichan Kim, Ilmun Kim, Se‐Young Park
  15. Transfer Learning on Edge Connecting Probability Estimation Under Graphon Model ↗Yuyao Wang, Yulan Cheng, Debarghya Mukherjee et al.
  16. TransferBench: Benchmarking Ensemble-based Black-box Transfer Attacks ↗Fabio Brau, Maura Pintor, Antonio Emanuele Ciná et al.
  17. Transferable Black-Box One-Shot Forging of Watermarks via Image Preference Models ↗Tomáš Souček, Sylvestre-Alvise Rebuffi, Pierre Fernandez et al.
  18. Transferring Causal Effects using Proxies ↗Manuel Iglesias-Alonso, Felix Schur, Julius von Kügelgen et al.
  19. Transferring Linear Features Across Language Models With Model Stitching ↗Alan Chen, Jack Merullo, Alessandro Stolfo et al.
  20. Transformer Copilot: Learning from The Mistake Log in LLM Fine-tuning ↗Jiaru Zou, Yikun Ban, Zihao Li et al.
  21. Transformer Key-Value Memories Are Nearly as Interpretable as Sparse Autoencoders ↗Mengyu Ye, Jun Suzuki, Tatsuro Inaba et al.
  22. Transformer brain encoders explain human high-level visual responses ↗Hossein Adeli, Sun Minni, Nikolaus Kriegeskorte
  23. Transformers Learn Faster with Semantic Focus ↗Parikshit Ram, Kenneth L. Clarkson, Tim Klinger et al.
  24. Transformers Provably Learn Chain-of-Thought Reasoning with Length Generalization ↗Yu Huang, Zixin Wen, Aarti Singh et al.
  25. Transformers are almost optimal metalearners for linear classification ↗Roey Magen, Gal Vardi
  26. Transformers for Mixed-type Event Sequences ↗Felix Draxler, Yang Meng, Kai Nelson et al.
  27. Transforming Gaps into Gains: Bridging Model and Data Heterogeneity in Federated Learning via Knowledge Weak-Aware Zones ↗Ke Li, Yan Ding, Zhiqin Zhu et al.
  28. Transforming Generic Coder LLMs to Effective Binary Code Embedding Models for Similarity Detection ↗Litao Li, Leo Song, Steven Ding et al.
  29. Transition Matching: Scalable and Flexible Generative Modeling ↗Neta Shaul, Uriel Singer, Itai Gat et al.
  30. Transstratal Adversarial Attack: Compromising Multi-Layered Defenses in Text-to-Image Models ↗Chunlong Xie, Kangjie Chen, Shangwei Guo et al.
  31. Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers ↗Daniel D’souza, Julia Kreutzer, Adrien Morisot et al.
  32. Treatment Effect Estimation for Optimal Decision-Making ↗Dennis Frauen, Valentyn Melnychuk, Jonas Schweisthal et al.
  33. Tree Ensemble Explainability through the Hoeffding Functional Decomposition and TreeHFD Algorithm ↗Clément Bénard
  34. Tree of Preferences for Diversified Recommendation ↗Hanyang Yuan, Ning Tang, Tongya Zheng et al.
  35. Tree-Based Premise Selection for Lean4 ↗Zichen Wang, Anjie Dong, Zaiwen Wen
  36. Tree-Guided Diffusion Planner ↗Hyeonseong Jeon, Cheolhong Min, Jaesik Park
  37. Tree-Sliced Entropy Partial Transport ↗Viet-Hoang Tran, Thanh Tran, Thanh Van Chu et al.
  38. TreeGen: A Bayesian Generative Model for Hierarchies ↗Marcel Kollovieh, N. Fleischmann, Filippo Guerranti et al.
  39. TreeSplat: Mergeable Tree for Deformable Gaussian Splatting ↗Qiuhong Shen, Xingyi Yang, Xinchao Wang
  40. TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning ↗Sheng Wang, Pengan Chen, Jingqi Zhou et al.
  41. Triplets Better Than Pairs: Towards Stable and Effective Self-Play Fine-Tuning for LLMs ↗Yibo Wang, Hai-Long Sun, Guangda Huzhang et al.
  42. Tropical Attention: Neural Algorithmic Reasoning for Combinatorial Algorithms ↗Baran Hashemi, Kurt Pasque, Christopher Teska et al.
  43. True Impact of Cascade Length in Contextual Cascading Bandits ↗Hyun-Jun Choi, Joongkyu Lee, Min-hwan Oh
  44. True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics ↗Christoph Jürgen Hemmer, Daniel Durstewitz
  45. Trust Region Constrained Measure Transport in Path Space for Stochastic Optimal Control and Inference ↗Denis Blessing, Julius Berner, Lorenz Richter et al.
  46. Trust Region Reward Optimization and Proximal Inverse Reward Optimization Algorithm ↗Yang Chen, Menglin Zou, Jiaqi Zhang et al.
  47. Turbocharging Gaussian Process Inference with Approximate Sketch-and-Project ↗Pratik Rathore, Zachary Frangella, Sachin K Garg et al.
  48. Turning Sand to Gold: Recycling Data to Bridge On-Policy and Off-Policy Learning via Causal Bound ↗Tal Fiskus, Uri Shaham
  49. Turning the Tables: Enabling Backward Transfer via Causal-Aware LoRA in Continual Learning ↗Chaoyang Li, Runze Ye, Jianyang Qin et al.
  50. Twilight: Adaptive Attention Sparsity with Hierarchical Top-p Pruning ↗Chaofan Lin, Jiaming Tang, Shuo Yang et al.
  51. Two Causally Related Needles in a Video Haystack ↗Miaoyu Li, Qin Chao, Boyang Li
  52. Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training ↗Mengru Wang, Xingyu Chen, Yue Wang et al.
  53. Two-Steps Diffusion Policy for Robotic Manipulation via Genetic Denoising ↗Mateo Clemente, Leo Maxime Brunswic, Yang Yang et al.
  54. Týr-the-Pruner: Structural Pruning LLMs via Global Sparsity Distribution Optimization ↗Guanchen Li, Yixing Xu, Zeping Li et al.
  55. UEPI: Universal Energy-Behavior-Preserving Integrators for Energy Conservative/Dissipative Differential Equations ↗Elena Celledoni, Brynjulf Owren, Chong Shen et al.
  56. UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection ↗Yang Zhao, Kai Xiong, Xiao Hua Ding et al.
  57. UFT: Unifying Supervised and Reinforcement Fine-Tuning ↗Mingyang Liu, Gabriele Farina, Asuman Ozdaglar
  58. UGM2N: An Unsupervised and Generalizable Mesh Movement Network via M-Uniform Loss ↗Zhichao Wang, Xinhai Chen, Qinglin Wang et al.
  59. UGoDIT: Unsupervised Group Deep Image Prior Via Transferable Weights ↗Shijun Liang, Ismail Alkhouri, Siddhant Gautam et al.
  60. UMAMI: Unifying Masked Autoregressive Models and Deterministic Rendering for View Synthesis ↗Thanh-Tung Le, Tuan Pham, Tung Nguyen et al.
  61. UMU-Bench: Closing the Modality Gap in Multimodal Unlearning Evaluation ↗Chengye Wang, Yuyuan Li, XiaoHua Feng et al.
  62. URB - Urban Routing Benchmark for RL-equipped Connected Autonomous Vehicles ↗Ahmet Onur Akman, Anastasia Psarou, Michał Hoffmann et al.
  63. URLs Help, Topics Guide: Understanding Metadata Utility in LLM Training ↗Dongyang Fan, Vinko Sabolčec, Martin Jaggi
  64. UVE: Are MLLMs Unified Evaluators for AI-Generated Videos? ↗Yuanxin Liu, Rui Zhu, Shuhuai Ren et al.
  65. UltraVideo: High-Quality UHD Video Dataset with Comprehensive Captions ↗Zhucun Xue, Jiangning Zhang, Teng Hu et al.
  66. Ultrametric Cluster Hierarchies: I Want ‘em All! ↗Andrew Draganov, Pascal Weber, Rasmus Jørgensen et al.
  67. Unbalanced Optimal Total Variation Transport: A Theoretical Approach to Spatial Resource Allocation Problems ↗Nhan‐Phu Chung, Jinhui Han, Bohan Li et al.
  68. Unbiased Prototype Consistency Learning for Multi-Modal and Multi-Task Object Re-Identification ↗Zhongao Zhou, Bin Yang, Wenke Huang et al.
  69. Unbiased Sliced Wasserstein Kernels for High-Quality Audio Captioning ↗Tien Manh Luong, Khai Nguyen, Dinh Phung et al.
  70. Uncertainty Estimation by Flexible Evidential Deep Learning ↗Taeseong Yoon, Heeyoung Kim
  71. Uncertainty Estimation on Graphs with Structure Informed Stochastic Partial Differential Equations ↗Feng Xu, Thomas Markovich
  72. Uncertainty Quantification for Deep Regression using Contextualised Normalizing Flows ↗Adriel Sosa Marco, John D. Kirwan, Alexia Toumpa et al.
  73. Uncertainty Quantification for Physics-Informed Neural Networks with Extended Fiducial Inference ↗Frank Shih, Zhenghao Jiang, Faming Liang
  74. Uncertainty Quantification with the Empirical Neural Tangent Kernel ↗Joseph Wilson, Chris van der Heide, Liam Hodgkinson et al.
  75. Uncertainty-Aware Multi-Objective Reinforcement Learning-Guided Diffusion Models for 3D De Novo Molecular Design ↗Lianghong Chen, Dongkyu Kim, Michael Domaratzki et al.
  76. Uncertainty-Based Smooth Policy Regularisation for Reinforcement Learning with Few Demonstrations ↗Yujie Zhu, Charles A. Hepburn, Matthew Thorpe et al.
  77. Uncertainty-Calibrated Prediction of Randomly-Timed Biomarker Trajectories with Conformal Bands ↗Vasiliki Tassopoulou, Charis J. Stamouli, Haochang Shou et al.
  78. Uncertainty-Guided Exploration for Efficient AlphaZero Training ↗Scott Cheng, Meng-Yu Tsai, Ding‐Yong Hong et al.
  79. Uncertainty-Informed Meta Pseudo Labeling for Surrogate Modeling with Limited Labeled Data ↗Xingyu Ren, Pengwei Liu, Pengkai Wang et al.
  80. Uncertainty-Sensitive Privileged Learning ↗Fan-Ming Luo, Lei Yuan, Yang Yu
  81. Uncertainty-aware Preference Alignment for Diffusion Policies ↗Runqing Miao, Sheng Xu, Runyi Zhao et al.
  82. Uncertainty-quantified Rollout Policy Adaptation for Unlabelled Cross-domain Video Temporal Grounding ↗Jian Hu, Zixu Cheng, Shaogang Gong et al.
  83. Uncoupled and Convergent Learning in Monotone Games under Bandit Feedback ↗Jing Jing Dong, Baoxiang Wang, Yaoliang Yu
  84. Uncover Governing Law of Pathology Propagation Mechanism Through A Mean-Field Game ↗Tingting Dan, Zhihao Fan, Guorong Wu
  85. Uncovering a Universal Abstract Algorithm for Modular Addition in Neural Networks ↗Gavin McCracken, Gabriela Moisescu-Pareja, Vincent Létourneau et al.
  86. Uncovering the Spectral Bias in Diagonal State Space Models ↗Rubén Solozabal, Velibor Bojković, Hilal AlQuabeh et al.
  87. Under the Shadow: Exploiting Opacity Variation for Fine-grained Shadow Detection ↗Xiaotian Qiao, Ke Xu, Xianglong Yang et al.
  88. Understanding Adam Requires Better Rotation Dependent Assumptions ↗Tianyue Zhang, Lucas Maes, Alan Milligan et al.
  89. Understanding Bias Terms in Neural Representations ↗Weixiang Zhang, Boxi Li, Shuzhao Xie et al.
  90. Understanding Contrastive Learning via Gaussian Mixture Models ↗Parikshit Bansal, Ali Kavis, Sujay Sanghavi
  91. Understanding Data Influence in Reinforcement Finetuning ↗Haoru Tan, Xiuzhe Wu, Sitong Wu et al.
  92. Understanding Differential Transformer Unchains Pretrained Self-Attentions ↗Chaerin Kong, Jiho Jang, Nojun Kwak
  93. Understanding Fairness and Prediction Error through Subspace Decomposition and Influence Analysis ↗Enze Shi, Pankaj Bhagwat, Zhixian Yang et al.
  94. Understanding Generalization in Physics Informed Models through Affine Variety Dimensions ↗Takeshi Koshizuka, Issei Sato
  95. Understanding Outer Optimizers in Local SGD: Learning Rates, Momentum, and Acceleration ↗Ahmed Khaled, Satyen Kale, Arthur Douillard et al.
  96. Understanding Prompt Tuning and In-Context Learning via Meta-Learning ↗Tim Genewein, Li Kevin Wenliang, Jordi Grau-Moya et al.
  97. Understanding Softmax Attention Layers:\\ Exact Mean-Field Analysis on a Toy Problem ↗Elvis Dohmatob
  98. Understanding and Enhancing Mask-Based Pretraining towards Universal Representations ↗Mingze Dong, Leda Wang, Yuval Kluger
  99. Understanding and Improving Adversarial Robustness of Neural Probabilistic Circuits ↗Weixin Chen, Han Zhao
  100. Understanding and Improving Fast Adversarial Training against l0 Bounded Perturbations ↗Xuyang Zhong, Yixiao Huang, Chen Liu

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