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NeurIPS 2025: all accepted papers

5,819 papers · page 32 of 59 · the most cited first · ← NeurIPS 2025

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  1. Efficient Parametric SVD of Koopman Operator for Stochastic Dynamical Systems ↗Minchan Jeong, Jongha Jon Ryu, Se-Young Yun et al.
  2. Efficient Policy Optimization in Robust Constrained MDPs with Iteration Complexity Guarantees ↗Sourav Ganguly, Kishan Panaganti, Arnob Ghosh et al.
  3. Efficient Preference-Based Reinforcement Learning: Randomized Exploration meets Experimental Design ↗Andreas Schlaginhaufen, Reda Ouhamma, Maryam Kamgarpour
  4. Efficient Prompt Compression with Evaluator Heads for Long-Context Transformer Inference ↗Weizhi Fei, Xueyan Niu, Guoqing Xie et al.
  5. Efficient Quadratic Corrections for Frank-Wolfe Algorithms ↗Jannis Halbey, Seta Rakotomandimby, Mathieu Besançon et al.
  6. Efficient Representativeness-Aware Coreset Selection ↗Zihao Cheng, Binrui Wu, Zhiwei Li et al.
  7. Efficient Safe Meta-Reinforcement Learning: Provable Near-Optimality and Anytime Safety ↗Siyuan Xu, Minghui Zhu
  8. Efficient Spectral Control of Partially Observed Linear Dynamical Systems ↗Anand Brahmbhatt, Gon Buzaglo, Sofiia Druchyna et al.
  9. Efficient Speech Language Modeling via Energy Distance in Continuous Latent Space ↗Zhengrui Ma, Yang Feng, Chenze Shao et al.
  10. Efficient Training of Minimal and Maximal Low-Rank Recurrent Neural Networks ↗Anushri Arora, Jonathan W. Pillow
  11. Efficient Training-Free Online Routing for High-Volume Multi-LLM Serving ↗Fangzhou Wu, Sandeep Silwal
  12. Efficient Utility-Preserving Machine Unlearning with Implicit Gradient Surgery ↗Shiji Zhou, Tianbai Yu, Zhi Zhang et al.
  13. Efficient and Near-Optimal Algorithm for Contextual Dueling Bandits with Offline Regression Oracles ↗Aadirupa Saha, Robert E. Schapire
  14. Efficient k-Sparse Band–Limited Interpolation with Improved Approximation Ratio ↗Yang Cao, Xiaoyu Li, Zhao Song et al.
  15. Efficient semantic uncertainty quantification in language models via diversity-steered sampling ↗Ji Won Park, Kyunghyun Cho
  16. Efficiently Escaping Saddle Points under Generalized Smoothness via Self-Bounding Regularity ↗Daniel Cao, August Y. Chen, Karthik Sridharan et al.
  17. Efficiently Maintaining the Multilingual Capacity of MCLIP in Downstream Cross-Modal Retrieval Tasks ↗Fengmao Lyu, Jitong Lei, Guosheng Lin et al.
  18. Efficiently Verifiable Proofs of Data Attribution ↗Ari Karchmer, Seth Neel, Martin Pawelczyk
  19. Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models ↗Julius Vetter, Manuel Gloeckler, Daniel Gedon et al.
  20. EgoBridge: Domain Adaptation for Generalizable Imitation from Egocentric Human Data ↗Ryan Punamiya, Dhruv Patel, Patcharapong Aphiwetsa et al.
  21. EgoDTM: Towards 3D-Aware Egocentric Video-Language Pretraining ↗Boshen Xu, Yuting Mei, liu xinbi et al.
  22. Elastic Robust Unlearning of Specific Knowledge in Large Language Models ↗Yize Sui, Jing Ren, Wenjing Yang et al.
  23. Elastic ViTs from Pretrained Models without Retraining ↗Walter Simoncini, Michael Dorkenwald, Tijmen Blankevoort et al.
  24. Elevating Visual Perception in Multimodal LLMs with Visual Embedding Distillation ↗Jitesh Jain, Zhengyuan Yang, Humphrey Shi et al.
  25. Elucidated Rolling Diffusion Models for Probabilistic Forecasting of Complex Dynamics ↗Salva Rühling Cachay, Miika Aittala, Karsten Kreis et al.
  26. Eluder dimension: localise it! ↗Alireza Bakhtiari, Alex Ayoub, Samuel Robertson et al.
  27. Embedding Principle of Homogeneous Neural Network for Classification Problem ↗Jia‐Han Zhang, Yaoyu Zhang, Tao Luo
  28. Embeddings as Probabilistic Equivalence in Logic Programs ↗Jaron Maene, Efthymia Tsamoura
  29. Embodied Cognition Augmented End2End Autonomous Driving ↗Ling Niu, Xiaoji Zheng, Han Wang et al.
  30. Embodied Crowd Counting ↗Runling Long, Yunlong Wang, Jia Wan et al.
  31. Embracing Contradiction: Theoretical Inconsistency Will Not Impede the Road of Building Responsible AI Systems ↗Gordon Dai, Yunze Xiao
  32. Embracing Trustworthy Brain-Agent Collaboration as Paradigm Extension for Intelligent Assistive Technologies ↗Yankai Chen, Xinni Zhang, Yifei Zhang et al.
  33. Emergence and Evolution of Interpretable Concepts in Diffusion Models ↗Berk Tınaz, Zalan Fabian, Mahdi Soltanolkotabi
  34. Emergence and scaling laws in SGD learning of shallow neural networks ↗Yunwei Ren, Eshaan Nichani, Denny C.-Y. Wu et al.
  35. Emergence of Linear Truth Encodings in Language Models ↗Shauli Ravfogel, Gilad Yehudai, Tal Linzen et al.
  36. Emergent Risk Awareness in Rational Agents under Resource Constraints ↗Daniel Jarne Ornia, Nicholas Bishop, Joel Dyer et al.
  37. Emerging Risks from Embodied AI Require Urgent Policy Action ↗Jared Perlo, Alexander Robey, Fazl Barez et al.
  38. Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning ↗Simin Li, Zihao Mao, Hanxiao Li et al.
  39. Empower Words: DualGround for Structured Phrase and Sentence-Level Temporal Grounding ↗Minseok Kang, Minhyeok Lee, Minjung Kim et al.
  40. Empowering Decision Trees via Shape Function Branching ↗Nakul Upadhya, Eldan Cohen
  41. EnCompass: Enhancing Agent Programming with Search Over Program Execution Paths ↗Zhening Li, Armando Solar-Lezama, Yisong Yue et al.
  42. Encoder-Decoder Diffusion Language Models for Efficient Training and Inference ↗Marianne Arriola, Yair Schiff, Hao Phung et al.
  43. Encouraging metric-aware diversity in contrastive representation space ↗Tianxu Li, Kun Zhu
  44. End-to-End Vision Tokenizer Tuning ↗Wenxuan Wang, Fan Zhang, Yufeng Cui et al.
  45. EnerVerse: Envisioning Embodied Future Space for Robotics Manipulation ↗Siyuan Huang, Liliang Chen, Pengfei Zhou et al.
  46. Energy Landscape-Aware Vision Transformers: Layerwise Dynamics and Adaptive Task-Specific Training via Hopfield States ↗Runze Xia, Richard Jiang
  47. Energy Loss Functions for Physical Systems ↗Oumar Kaba, Kusha Sareen, Daniel Levy et al.
  48. Energy-based generator matching: A neural sampler for general state space ↗Dongyeop Woo, Minsu Kim, Min‐Kyu Kim et al.
  49. Enforcing convex constraints in Graph Neural Networks ↗Ahmed Rashwan, Keith Briggs, Chris Budd et al.
  50. EngiBench: A Framework for Data-Driven Engineering Design Research ↗Florian Felten, Gabriel Apaza, Gerhard Bräunlich et al.
  51. Enhanced Self-Distillation Framework for Efficient Spiking Neural Network Training ↗Xiaochen Zhao, Chengting Yu, Ke Yu et al.
  52. Enhancing 3D Reconstruction for Dynamic Scenes ↗Jisang Han, Honggyu An, Jaewoo Jung et al.
  53. Enhancing Bioactivity Prediction via Spatial Emptiness Representation of Protein-ligand Complex and Union of Multiple Pockets ↗Zhiyuan Zhou, Yueming Yin, Yiming Yang et al.
  54. Enhancing CLIP Robustness via Cross-Modality Alignment ↗Xingyu Zhu, Beier Zhu, Shuo Wang et al.
  55. Enhancing Consistency of Flow-Based Image Editing through Kalman Control ↗Haozhe Chi, Zhicheng Sun, Yang Jin et al.
  56. Enhancing Contrastive Learning with Variable Similarity ↗Haowen Cui, Shuo Chen, Jun Li et al.
  57. Enhancing Deep Batch Active Learning for Regression with Imperfect Data Guided Selection ↗Yinjie Min, Furong Xu, Xinyao Li et al.
  58. Enhancing Graph Classification Robustness with Singular Pooling ↗Sofiane Ennadir, Oleg Smirnov, Yassine Abbahaddou et al.
  59. Enhancing Interpretability in Deep Reinforcement Learning through Semantic Clustering ↗Liang Zhang, Justin Lieffers, Adarsh Pyarelal
  60. Enhancing LLM Watermark Resilience Against Both Scrubbing and Spoofing Attacks ↗Huanming Shen, Baizhou Huang, Xiaojun Wan
  61. Enhancing Optimizer Stability: Momentum Adaptation of The NGN Step-size ↗Rustem Islamov, Niccolò Ajroldi, Antonio Orvieto et al.
  62. Enhancing Privacy in Multimodal Federated Learning with Information Theory ↗Tianzhe Xiao, Yichen Li, Yining Qi et al.
  63. Enhancing Safety in Reinforcement Learning with Human Feedback via Rectified Policy Optimization ↗Xiyue Peng, Hengquan Guo, Jiawei Zhang et al.
  64. Enhancing Tactile-based Reinforcement Learning for Robotic Control ↗Elle Miller, Trevor McInroe, David Lynn Abel et al.
  65. Enhancing Training Data Attribution with Representational Optimization ↗Weiwei Sun, Haokun Liu, Nikhil Kandpal et al.
  66. Enhancing Zero-Shot Black-Box Optimization via Pretrained Models with Efficient Population Modeling, Interaction, and Stable Gradient Approximation ↗韩牧麒, Xiaobin Li, Kai Wu et al.
  67. Enhancing the Maximum Effective Window for Long-Term Time Series Forecasting ↗Jiahui Zhang, Zhengyang Zhou, Wenjie Du et al.
  68. Enhancing the Outcome Reward-based RL Training of MLLMs with Self-Consistency Sampling ↗Jiahao Wang, Weiye Xu, Aijun Yang et al.
  69. Entropic Time Schedulers for Generative Diffusion Models ↗Dejan Dejan Stančević, Florian Handke, Luca Ambrogioni
  70. Environment Inference for Learning Generalizable Dynamical System ↗Shixuan Liu, Yue He, Haotian Wang et al.
  71. EnzyControl: Adding Functional and Substrate-Specific Control for Enzyme Backbone Generation ↗Chao Song, ZHIYUAN LIU, Han Huang et al.
  72. Epistemic Uncertainty Estimation in Regression Ensemble Models with Pairwise Epistemic Estimators ↗Lucas Berry, David Meger
  73. Equi-mRNA: Protein Translation Equivariant Encoding for mRNA Language Models ↗Mehdi Yazdani-Jahromi, Ali Khodabandeh Yalabadi, Özlem Özmen Garibay
  74. Equilibrium Policy Generalization: A Reinforcement Learning Framework for Cross-Graph Zero-Shot Generalization in Pursuit-Evasion Games ↗Runyu Lu, Peng Zhang, Ruochuan Shi et al.
  75. Equivariance by Contrast: Identifiable Equivariant Embeddings from Unlabeled Finite Group Actions ↗Tobias Schmidt, Steffen Schneider, Matthias Bethge
  76. Equivariant Eikonal Neural Networks: Grid-Free, Scalable Travel-Time Prediction on Homogeneous Spaces ↗Alejandro García-Castellanos, David R. Wessels, Nicky J. van den Berg et al.
  77. Error Broadcast and Decorrelation as a Potential Artificial and Natural Learning Mechanism ↗Mete Erdogan, Cengiz Pehlevan, Alper Tunga Erdogan
  78. Error Feedback under (L0,L1)-Smoothness: Normalization and Momentum ↗Sarit Khirirat, Abdurakhmon Sadiev, Artem Riabinin et al.
  79. Error Forcing in Recurrent Neural Networks ↗A Erdem Sağtekin, Colin Bredenberg, Cristina Savin
  80. ErrorTrace: A Black-Box Traceability Mechanism Based on Model Family Error Space ↗Chuanchao Zang, Xiangtao Meng, Wenyu Chen et al.
  81. Escaping Collapse: The Strength of Weak Data for Large Language Model Training ↗Kareem Amin, Sara Babakniya, Alex Bie et al.
  82. Escaping saddle points without Lipschitz smoothness: the power of nonlinear preconditioning ↗Alexander Bodard, Panagiotis Patrinos
  83. Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations? ↗Yiwei Yang, Chung Peng Lee, Shangbin Feng et al.
  84. Establishing Best Practices in Building Rigorous Agentic Benchmarks ↗Yuxuan Zhu, Tengjun Jin, Yada Pruksachatkun et al.
  85. Establishing Linear Surrogate Regret Bounds for Convex Smooth Losses via Convolutional Fenchel–Young Losses ↗Yu Kevin Cao, Han Bao, Lei Feng et al.
  86. Estimating Hitting Times Locally at Scale ↗Themistoklis Haris, Fabian Spaeh, Spyros Dragazis et al.
  87. Estimating Model Performance Under Covariate Shift Without Labels ↗Jakub Białek, Juhani Kivimäki, Wojtek Kuberski et al.
  88. Estimating cognitive biases with attention-aware inverse planning ↗S. BANERJEE, Daphne Cornelisse, Deepak Gopinath et al.
  89. Estimation of Stochastic Optimal Transport Maps ↗Sloan Nietert, Ziv Goldfeld
  90. Estimation of Treatment Effects in Extreme and Unobserved Data ↗Jiyuan Tan, Vasilis Syrgkanis, José Blanchet
  91. Eulerian Neural Network Informed by Chemical Transport for Air Quality Forecasting ↗Xukai Zhang, Shuliang Wang, Guangyin Jin et al.
  92. EuroSpeech: A Multilingual Speech Corpus ↗Samuel Pfisterer, Florian Grötschla, Luca A. Lanzendörfer et al.
  93. EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving ↗Shihan Dou, Ming Zhang, Chenhao Huang et al.
  94. Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia ↗Chandler Smith, Marwa Abdulhai, Manfred Diaz et al.
  95. Evaluating LLMs in Open-Source Games ↗Swadesh Sistla, Max Kleiman‐Weiner
  96. Evaluating Program Semantics Reasoning with Type Inference in System F ↗Yifeng He, Luning Yang, Christopher Gonzalo et al.
  97. Evaluating and Learning Optimal Dynamic Treatment Regimes under Truncation by Death ↗Sihyung Park, Wenbin Lu, Shu Yang
  98. Evaluating multiple models using labeled and unlabeled data ↗Divya Shanmugam, Shuvom Sadhuka, Manish Raghavan et al.
  99. Evaluating the Inductive Abilities of Large Language Models: Why Chain-of-Thought Reasoning Sometimes Hurts More Than Helps ↗Haibo Jin, Peiyan Zhang, Man Luo et al.
  100. Eve3D: Elevating Vision Models for Enhanced 3D Surface Reconstruction via Gaussian Splatting ↗Jiawei Zhang, Youmin Zhang, Fabio Tosi et al.

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