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NeurIPS 2025: all accepted papers

5,819 papers · page 40 of 59 · the most cited first · ← NeurIPS 2025

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  1. Learning Without Augmenting: Unsupervised Time Series Representation Learning via Frame Projections ↗Berken Utku Demirel, Christian Holz
  2. Learning conformational ensembles of proteins based on backbone geometry ↗Nicolas Wolf, Leif Seute, Vsevolod Viliuga et al.
  3. Learning from A Single Markovian Trajectory: Optimality and Variance Reduction ↗Zhenyu Sun, Ermin Wei
  4. Learning from Delayed Feedback in Games via Extra Prediction ↗Yuma Fujimoto, Kenshi Abe, Kaito Ariu
  5. Learning from Disjoint Views: A Contrastive Prototype Matching Network for Fully Incomplete Multi-View Clustering ↗Yiming Wang, Qun Li, Dongxia Chang et al.
  6. Learning from Interval Targets ↗Rattana Pukdee, Ziqi Ke, Chirag Gupta
  7. Learning from Reward-Free Offline Data: A Case for Planning with Latent Dynamics Models ↗Uladzislau Sobal, Wancong Zhang, Kyunghyun Cho et al.
  8. Learning from positive and unlabeled examples -Finite size sample bounds ↗Farnam Mansouri, Shai Ben-David
  9. Learning in Compact Spaces with Approximately Normalized Transformer ↗Jörg K. H. Franke, Urs Spiegelhalter, Marianna Nezhurina et al.
  10. Learning in Stackelberg Mean Field Games: A Non-Asymptotic Analysis ↗Sihan Zeng, Benjamin Patrick Evans, Sujay Bhatt et al.
  11. Learning long range dependencies through time reversal symmetry breaking ↗Guillaume Pourcel, Maxence Ernoult
  12. Learning non-equilibrium diffusions with Schrödinger bridges: from exactly solvable to simulation-free ↗Stephen Zhang, Michael Stumpf
  13. Learning normalized image densities via dual score matching ↗Florentin Guth, Zahra Kadkhodaie, Eero P. Simoncelli
  14. Learning quadratic neural networks in high dimensions: SGD dynamics and scaling laws ↗Gérard Ben Arous, Murat A. Erdogdu, N. Mert Vural et al.
  15. Learning single index models via harmonic decomposition ↗Nirmit Joshi, Hugo Koubbi, Theodor Misiakiewicz et al.
  16. Learning the Plasticity: Plasticity-Driven Learning Framework in Spiking Neural Networks ↗Guobin Shen, Dongcheng Zhao, Yiting Dong et al.
  17. Learning to Add, Multiply, and Execute Algorithmic Instructions Exactly with Neural Networks ↗Artur Back de Luca, George Giapitzakis, Kimon Fountoulakis
  18. Learning to Better Search with Language Models via Guided Reinforced Self-Training ↗Seungyong Moon, Bumsoo Park, Hyun Oh Song
  19. Learning to Clean: Reinforcement Learning for Noisy Label Correction ↗Marzi Heidari, Hanping Zhang, Yuhong Guo
  20. Learning to Condition: A Neural Heuristic for Scalable MPE Inference ↗Brij Malhotra, Shivvrat Arya, Tahrima Rahman et al.
  21. Learning to Control Free-Form Soft Swimmers ↗Changyu Hu, Yanke Qu, Qiuan Yang et al.
  22. Learning to Flow from Generative Pretext Tasks for Neural Architecture Encoding ↗Sunwoo Kim, Hyunjin Hwang, Kijung Shin
  23. Learning to Focus: Causal Attention Distillation via Gradient‐Guided Token Pruning ↗Yiju Guo, Wenkai Yang, Zexu Sun et al.
  24. Learning to Generalize: An Information Perspective on Neural Processes ↗Hui Li, Huafeng Liu, Shuyang Lin et al.
  25. Learning to Generate Human-Human-Object Interactions from Textual Descriptions ↗Jeonghyeon Na, Sangwon Baik, Inhee Lee et al.
  26. Learning to Integrate Diffusion ODEs by Averaging the Derivatives ↗Wenze Liu, Xiangyu Yue
  27. Learning to Learn with Contrastive Meta-Objective ↗Shiguang Wu, Yaqing Wang, Yatao Bian et al.
  28. Learning to Plan Like the Human Brain via Visuospatial Perception and Semantic-Episodic Synergistic Decision-Making ↗Tianyuan Jia, Ziyu Li, Qing Li et al.
  29. Learning to Rank for In-Context Example Retrieval ↗Yuwen Ji, Luodan Zhang, Ambyer Han et al.
  30. Learning to Solve Complex Problems via Dataset Decomposition ↗Wanru Zhao, Lucas Caccia, Zhengyan Shi et al.
  31. Learning to Steer: Input-dependent Steering for Multimodal LLMs ↗Jayneel Parekh, Pegah Khayatan, Mustafa Shukor et al.
  32. Learning to Think: Information-Theoretic Reinforcement Fine-Tuning for LLMs ↗Jingyao Wang, Wenwen Qiang, Zeen Song et al.
  33. Learning to Watermark: A Selective Watermarking Framework for Large Language Models via Multi-Objective Optimization ↗Chenrui Wang, Junyi Shu, Billy Chiu et al.
  34. Learning to Zoom with Anatomical Relations for Medical Structure Detection ↗Bin Pu, Liwen Wang, Xingbo Dong et al.
  35. Learning to cluster neuronal function ↗Nina S Nellen, Polina Turishcheva, Michaela Vystrčilová et al.
  36. Learning with Calibration: Exploring Test-Time Computing of Spatio-Temporal Forecasting ↗Wei Chen, Yuxuan Liang
  37. Learning with Restricted Boltzmann Machines: Asymptotics of AMP and GD in High Dimensions ↗Yizhou Xu, Florent Krząkała, Lenka Zdeborová
  38. Learning with Statistical Equality Constraints ↗Aneesh Barthakur, Luiz F. O. Chamon
  39. Learning “Partner-Aware” Collaborators in Multi-Party Collaboration ↗Abhijnan Nath, Nikhil Krishnaswamy
  40. Learning-Augmented Algorithms for k-median via Online Learning ↗Anish Hebbar, Rong Ge, Amit Kumar et al.
  41. Learning-Augmented Facility Location Mechanisms for Envy Ratio ↗HARIS AZIZ, Yuhang Guo, Alexander Lam et al.
  42. Learning-Augmented Online Bidding in Stochastic Settings ↗Spyros Angelopoulos, Bertrand Simon
  43. Learning-Augmented Online Bipartite Fractional Matching ↗Davin Choo, Billy Jin, Yongho Shin
  44. Learning-Augmented Streaming Algorithms for Correlation Clustering ↗Yinhao Dong, Shan Jiang, Shi Li et al.
  45. Least squares variational inference ↗Yvann Le Fay, Nicolas Chopin, Simon Barthelmé
  46. Leaving No OOD Instance Behind: Instance-Level OOD Fine-Tuning for Anomaly Segmentation ↗Yuxuan Zhang, Zhenbo Shi, han ye et al.
  47. Length Generalization via Auxiliary Tasks ↗Pranjal Awasthi, Anupam Gupta, Ravi Kumar
  48. Less Greedy Equivalence Search ↗Adiba Ejaz, Elias Bareinboim
  49. Less is More: an Attention-free Sequence Prediction Modeling for Offline Embodied Learning ↗Wei Huang, Jianshu Zhang, Leiyu Wang et al.
  50. Lessons Learned: A Multi-Agent Framework for Code LLMs to Learn and Improve ↗Yuanzhe Liu, Ryan Deng, Tim Kaler et al.
  51. Let Brain Rhythm Shape Machine Intelligence for Connecting Dots on Graphs ↗Jiaqi Ding, Tingting Dan, Zhixuan Zhou et al.
  52. Let Me Think! A Long Chain of Thought Can Be Worth Exponentially Many Short Ones ↗Parsa Mirtaheri, Ezra Edelman, Samy Jelassi et al.
  53. Let a Neural Network be Your Invariant ↗Mirco Giacobbe, Daniel Kroening, Abhinandan Pal et al.
  54. Let the LLM Stick to Its Strengths: Learning to Route Economical LLM ↗Yi-Kai Zhang, Shiyin Lu, Qingguo Chen et al.
  55. Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs ↗Zhiyi Lyu, Jianguo Huang, Yan Deng et al.
  56. Leveraging Importance Sampling to Detach Alignment Modules from Large Language Models ↗Yi Liu, Dianqing Liu, Mingye Zhu et al.
  57. Leveraging robust optimization for llm alignment under distribution shifts ↗Mingye Zhu, Yi Liu, Zheren Fu et al.
  58. LexiCon: a Benchmark for Planning under Temporal Constraints in Natural Language ↗Periklis Mantenoglou, Rishi Hazra, Pedro Zuidberg Dos Martires et al.
  59. Lie Detector: Unified Backdoor Detection via Cross-Examination Framework ↗Xuan Wang, Siyuan Liang, Dongping Liao et al.
  60. Lifelong Safety Alignment for Language Models ↗Haoyu Wang, Yifei Zhao, Zeyu Qin et al.
  61. Light-Weight Diffusion Multiplier and Uncertainty Quantification for Fourier Neural Operators ↗Albert Matveev, Sanmitra Ghosh, Aamal Hussain et al.
  62. LightFair: Towards an Efficient Alternative for Fair T2I Diffusion via Debiasing Pre-trained Text Encoders ↗Boyu Han, Qianqian Xu, Shilong Bao et al.
  63. Limitations of Normalization in Attention ↗Timur Mudarisov, Mikhail Burtsev, Tatiana Petrova et al.
  64. Limited Preference Data? Learning Better Reward Model with Latent Space Synthesis ↗Leitian Tao, Xuefeng Du, Yixuan Li
  65. Linear Attention for Efficient Bidirectional Sequence Modeling ↗Arshia Afzal, Elias Abad Rocamora, Leyla Naz Candogan et al.
  66. Linear Mixture Distributionally Robust Markov Decision Processes ↗Zhishuai Liu, Pan Xu
  67. Linear Transformers Implicitly Discover Unified Numerical Algorithms ↗Patrick Lutz, Aditya Gangrade, Hadi Daneshmand et al.
  68. Linearization Explains Fine-Tuning in Large Language Models ↗Zahra Rahimi Afzal, Tara Esmaeilbeig, Mojtaba Soltanalian et al.
  69. Linearly Constrained Diffusion Implicit Models ↗Vivek Jayaram, Ira Kemelmacher-Shlizerman, Steven M. Seitz et al.
  70. Linguini: A benchmark for language-agnostic linguistic reasoning ↗Eduardo Sánchez, Belen Alastruey, Christophe Ropers et al.
  71. List-Level Distribution Coupling with Applications to Speculative Decoding and Lossy Compression ↗Joseph Rowan, Buu Phan, Ashish J. Khisti
  72. Listening to the Brain: Multi-Band sEEG Auditory Reconstruction via Dynamic Spatio-Temporal Hypergraphs ↗Xueyi Zhang, Ruicong Wang, Jialu Sun et al.
  73. LittleBit: Ultra Low-Bit Quantization via Latent Factorization ↗Banseok Lee, Dong‐Kyu Kim, Youngcheon You et al.
  74. LoRA-EnVar: Parameter-Efficient Hybrid Ensemble Variational Assimilation for Weather Forecasting ↗Yi Xiao, Hang Fan, Kun Chen et al.
  75. LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers ↗Yusuf Dalva, Hidir Yesiltepe, Pinar Yanardag
  76. LoRASuite: Efficient LoRA Adaptation Across Large Language Model Upgrades ↗Yanan Li, Fanxu Meng, Muhan Zhang et al.
  77. LoRATv2: Enabling Low-Cost Temporal Modeling in One-Stream Trackers ↗Liting Lin, Heng Fan, Zhipeng Zhang et al.
  78. LoRO: Real-Time on-Device Secure Inference for LLMs via TEE-Based Low Rank Obfuscation ↗Gaojian Xiong, Yu Sun, Jianhua Liu et al.
  79. LoSplit: Loss-Guided Dynamic Split for Training-Time Defense Against Graph Backdoor Attacks ↗Di Jin, Yuxiang Zhang, Bingdao Feng et al.
  80. LoTA-QAF: Lossless Ternary Adaptation for Quantization-Aware Fine-Tuning ↗Junyu Chen, Junzhuo Li, Zhen Peng et al.
  81. LocDiff: Identifying Locations on Earth by Diffusing in the Hilbert Space ↗Zhangyu Wang, Zeping Liu, Jielu Zhang et al.
  82. Local Curvature Descent: Squeezing More Curvature out of Standard and Polyak Gradient Descent ↗Peter Richtárik, Simone Maria Giancola, Dymitr Lubczyk et al.
  83. Local Learning for Covariate Selection in Nonparametric Causal Effect Estimation with Latent Variables ↗Zheng Li, Xichen Guo, Feng Kun Xie et al.
  84. Local-Global Associative Frames for Symmetry-Preserving Crystal Structure Modeling ↗haowei hua, Wanyu Lin
  85. Local-Global Coupling Spiking Graph Transformer for Brain Disorders Diagnosis from Two Perspectives ↗Geng Zhang, Jiangrong Shen, Kaizhong Zheng et al.
  86. Localist Topographic Expert Routing: A Barrel Cortex-Inspired Modular Network for Sensorimotor Processing ↗Tianfang Zhu, Dongli Hu, Jiandong Zhou et al.
  87. Localized Data Shapley: Accelerating Valuation for Nearest Neighbor Algorithms ↗Guangyi Zhang, Yanhao Wang, Chengliang Chai et al.
  88. Localizing Knowledge in Diffusion Transformers ↗Arman Zarei, Samyadeep Basu, Keivan Rezaei et al.
  89. Locally Optimal Private Sampling: Beyond the Global Minimax ↗Hrad Ghoukasian, Bonwoo Lee, Shahab Asoodeh
  90. Logic.py: Bridging the Gap between LLMs and Constraint Solvers ↗Pascal Kesseli, Peter W. O’Hearn, Ricardo Cabral
  91. LogicTree: Improving Complex Reasoning of LLMs via Instantiated Multi-step Synthetic Logical Data ↗Zehao Wang, Lin Yang, Jie Wang et al.
  92. Logical Expressiveness of Graph Neural Networks with Hierarchical Node Individualization ↗Arie Soeteman, Balder ten Cate
  93. Long-Tailed Recognition via Information-Preservable Two-Stage Learning ↗Fudong Lin, Yuan Xu
  94. Long-tailed Recognition with Model Rebalancing ↗Jiaan Luo, Feng Hong, Qiang Hu et al.
  95. Long-term Intracortical Neural activity and Kinematics (LINK): An intracortical neural dataset for chronic brain-machine interfaces, neuroscience, and machine learning ↗Hisham Temmar, Yixuan Wang, Nina Gill et al.
  96. LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions ↗Chaochen Gao, Xing W, Zijia Lin et al.
  97. LongVPO: From Anchored Cues to Self-Reasoning for Long-Form Video Preference Optimization ↗Zhenpeng Huang, Jiaqi Li, zihan jia et al.
  98. Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning ↗Wang Yang, Zirui Liu, Hongye Jin et al.
  99. LooGLE v2: Are LLMs Ready for Real World Long Dependency Challenges? ↗Ziyuan He, Yuxuan Wang, Jiaqi Li et al.
  100. Look-Ahead Reasoning on Learning Platforms ↗Haiqing Zhu, Tijana Zrnic, Celestine Dünner

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