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NeurIPS 2025: all accepted papers

5,819 papers · page 43 of 59 · the most cited first · ← NeurIPS 2025

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  1. Multi-Modal Interactive Agent Layer for Few-Shot Universal Cross-Domain Retrieval and Beyond ↗Kaixiang Chen, Pengfei Fang, Hui Xue
  2. Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs ↗Amirmohammad Farzaneh, Osvaldo Simeone
  3. Multi-Objective One-Shot Pruning for Large Language Models ↗Weiyu CHEN, Hansi Yang, Yunhao Gou et al.
  4. Multi-Objective Reinforcement Learning with Max-Min Criterion: A Game-Theoretic Approach ↗Woohyeon Byeon, Giseung Park, Jongseong Chae et al.
  5. Multi-Task Vehicle Routing Solver via Mixture of Specialized Experts under State-Decomposable MDP ↗Yuxin Pan, Zhiguang Cao, Chengyang Gu et al.
  6. Multi-View Oriented GPLVM: Expressiveness and Efficiency ↗Zi Yang, Ying Li, Zhidi Lin et al.
  7. Multi-agent KTO: Enhancing Strategic Interactions of Large Language Model in Language Game ↗Rong Ye, Yongxin Zhang, yikai zhang et al.
  8. Multi-agent Markov Entanglement ↗Shuze Chen, Tianyi Peng
  9. Multi-head Temporal Latent Attention ↗Keqi Deng, Philip C. Woodland
  10. Multi-head Transformers Provably Learn Symbolic Multi-step Reasoning via Gradient Descent ↗Tong Yang, Yu Huang, Yingbin Liang et al.
  11. Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables ↗Yu Gui, Cong Ma, Zongming Ma
  12. Multi-order Orchestrated Curriculum Distillation for Model-Heterogeneous Federated Graph Learning ↗Frank Wan, Xu Cheng, Run Liu et al.
  13. Multi-scale Temporal Prediction via Incremental Generation and Multi-agent Collaboration ↗Zhitao Zeng, Guojian Yuan, Junyuan Mao et al.
  14. MultiHuman-Testbench: Benchmarking Image Generation for Multiple Humans ↗Shubhankar Borse, Seokeon Choi, Sunghyun Park et al.
  15. MultiScale Contextual Bandits for Long Term Objectives ↗Richa Rastogi, Yuta Saito, Thorsten Joachims
  16. Multiclass Loss Geometry Matters for Generalization of Gradient Descent in Separable Classification ↗Matan Schliserman, Tomer Koren
  17. Multidimensional Bayesian Utility Maximization: Tight Approximations to Welfare ↗Kira Goldner, Taylor Lundy
  18. Multimodal 3D Genome Pre-training ↗Minghao Yang, Pengteng Li, Yan Liang et al.
  19. Multimodal Bandits: Regret Lower Bounds and Optimal Algorithms ↗William Réveillard, Richard Combes
  20. Multimodal LiDAR-Camera Novel View Synthesis with Unified Pose-free Neural Fields ↗Weiyi Xue, Fan Lu, Yunwei Zhu et al.
  21. Multimodal Negative Learning ↗Baoquan Gong, Xiyuan Gao, Pengfei Zhu et al.
  22. Multimodal Tabular Reasoning with Privileged Structured Information ↗Junpeng Jiang, Yu Xia, Hailong Sun et al.
  23. Multiplayer Federated Learning: Reaching Equilibrium with Less Communication ↗TaeHo Yoon, Sayantan Choudhury, Nicolas Loizou
  24. Multipole Attention for Efficient Long Context Reasoning ↗Coleman Richard Charles Hooper, Sebastian Zhao, Luca Manolache et al.
  25. Multiresolution Analysis and Statistical Thresholding on Dynamic Networks ↗R. Romero, Tijl De Bie, Nick A. Heard et al.
  26. Multitask Learning with Stochastic Interpolants ↗Hugo Negrel, Florentin Coeurdoux, Michael S. Albergo et al.
  27. Multivariate Latent Recalibration for Conditional Normalizing Flows ↗Victor Dheur, Souhaib Ben Taieb
  28. MutualVPR: A Mutual Learning Framework for Resolving Supervision Inconsistencies via Adaptive Clustering ↗Qiwen Gu, Xufei Wang, Junqiao Zhao et al.
  29. NEP: Autoregressive Image Editing via Next Editing Token Prediction ↗Huimin Wu, Xiaojian Ma, Haozhe Zhao et al.
  30. NFL-BA: Near-Field Light Bundle Adjustment for SLAM in Dynamic Lighting ↗Andrea Dunn Beltran, Daniel Rho, Marc Niethammer et al.
  31. NS-Gym: A Comprehensive and Open-Source Simulation Framework for Non-Stationary Markov Decision Processes ↗Nathaniel S. Keplinger, Baiting Luo, Yunuo Zhang et al.
  32. NSNQuant: A Double Normalization Approach for Calibration-Free Low-Bit Vector Quantization of KV Cache ↗Donghyun Son, Euntae Choi, Sungjoo Yoo
  33. NUTS: Eddy-Robust Reconstruction of Surface Ocean Nutrients via Two-Scale Modeling ↗Hao Zheng, Shiyu Liang, Yuting Zheng et al.
  34. NaDRO: Leveraging Dual-Reward Strategies for LLMs Training on Noisy Data ↗Haolong Qian, Xianliang Yang, Ling Zhang et al.
  35. NaViL: Rethinking Scaling Properties of Native Multimodal Large Language Models under Data Constraints ↗Changyao Tian, Hao Li, Gen Luo et al.
  36. Native Segmentation Vision Transformers ↗Guillem Brasó, Aljoša Ošep, Laura Leal-Taixé
  37. Natural Gradient VI: Guarantees for Non-Conjugate Models ↗Fangyuan Sun, Ilyas Fatkhullin, Niao He
  38. NaturalReasoning: Reasoning in the Wild with 2.8M Challenging Questions ↗Weizhe Yuan, Jian Qiao Yu, Song Jiang et al.
  39. NavBench: Probing Multimodal Large Language Models for Embodied Navigation ↗Yanyuan Qiao, Haodong Hong, Wenqi Lyu et al.
  40. Navigating the MIL Trade-Off: Flexible Pooling for Whole Slide Image Classification ↗Hossein Jafarinia, Danial Hamdi, Amirhossein Alamdar et al.
  41. NeSyPr: Neurosymbolic Proceduralization For Efficient Embodied Reasoning ↗Wonje Choi, Jooyoung Kim, Honguk Woo
  42. Near-Exponential Savings for Population Mean Estimation with Active Learning ↗Julian Morimoto, Jacob S. Goldin, Daniel E. Ho
  43. Near-Optimal Experiment Design in Linear non-Gaussian Cyclic Models ↗Ehsan Sharifian, Saber Salehkaleybar, Negar Kiyavash
  44. Near-Optimal Quantum Algorithms for Computing (Coarse) Correlated Equilibria of General-Sum Games ↗Tongyang Li, Xinzhao Wang, Yexin Zhang
  45. Near-Optimal Regret-Queue Length Tradeoff in Online Learning for Two-Sided Markets ↗Zixian Yang, Sushil Varma, Lei Ying
  46. Near-Optimal Sample Complexity for Online Constrained MDPs ↗Chang Liu, Yunfan Li, Lin Yang
  47. Nearly Dimension-Independent Convergence of Mean-Field Black-Box Variational Inference ↗Kyurae Kim, Yi-An Ma, Trevor Campbell et al.
  48. Nearly-Linear Time Private Hypothesis Selection with the Optimal Approximation Factor ↗Maryam Aliakbarpour, Zhan Shi, Ria Stevens et al.
  49. Nearly-Linear Time and Massively Parallel Algorithms for k-anonymity ↗Kevin Aydin, Honghao Lin, David P. Woodruff et al.
  50. Negative Feedback Really Matters: Signed Dual-Channel Graph Contrastive Learning Framework for Recommendation ↗Leqi Zheng, Chaokun Wang, Zixin Song et al.
  51. Neighborhood Self-Dissimilarity Attention for Medical Image Segmentation ↗Junren Chen, Rui Chen, Wei Wang et al.
  52. Nemotron-Flash: Towards Latency-Optimal Hybrid Small Language Models ↗Yonggan Fu, Xin Dong, Shizhe Diao et al.
  53. Neptune-X: Active X-to-Maritime Generation for Universal Maritime Object Detection ↗Yu Guo, Shengfeng He, Yuxu Lu et al.
  54. Network two-sample test for block models ↗Chung Kyong Nguen, Arash Amini, Oscar Hernán Madrid Padilla
  55. Neural Atlas Graphs for Dynamic Scene Decomposition and Editing ↗Jan Philipp Schneider, Pratik Singh Bisht, Ilya Chugunov et al.
  56. Neural Attention Search ↗Difan Deng, Marius Lindauer
  57. Neural B-frame Video Compression with Bi-directional Reference Harmonization ↗Yuxi Liu, Dengchao Jin, Shuai Huo et al.
  58. Neural Collapse is Globally Optimal in Deep Regularized ResNets and Transformers ↗Peter Súkeník, Christoph H. Lampert, Marco Mondelli
  59. Neural Correlates of Serial Dependence: Synaptic Short-term Plasticity Orchestrates Repulsion and Attraction ↗Xiuning Zhang, Xincheng Lu, Nihong Chen et al.
  60. Neural Emulator Superiority: When Machine Learning for PDEs Surpasses its Training Data ↗Felix Koehler, Nils Thuerey
  61. Neural Entropy ↗Akhil Premkumar
  62. Neural Evolution Strategy for Black-box Pareto Set Learning ↗Chengyu Lu, Zhenhua Li, Xi Lin et al.
  63. Neural Green’s Functions ↗Seungwoo Yoo, Kyeongmin Yeo, Jisung Hwang et al.
  64. Neural Hamiltonian Diffusions for Modeling Structured Geometric Dynamics ↗Sungwoo Park
  65. Neural MJD: Neural Non-Stationary Merton Jump Diffusion for Time Series Prediction ↗Yuanpei Gao, Qi Yan, Yan Leng et al.
  66. Neural Mutual Information Estimation with Vector Copulas ↗Yanzhi Chen, Zijing Ou, Adrian Weller et al.
  67. Neural Networks for Learnable and Scalable Influence Estimation of Instruction Fine-Tuning Data ↗Ishika Agarwal, Dilek Z. Hakkani-Tur
  68. Neural Stochastic Flows: Solver-Free Modelling and Inference for SDE Solutions ↗Naoki Kiyohara, Edward Johns, Yingzhen Li
  69. Neural Thermodynamics: Entropic Forces in Deep and Universal Representation Learning ↗Liu Ziyin, Yizhou Xu, Isaac L. Chuang
  70. NeuralSurv: Deep Survival Analysis with Bayesian Uncertainty Quantification ↗Mélodie Monod, Alessandro Micheli, Samir Bhatt
  71. NeuroGenPoisoning: Neuron-Guided Attacks on Retrieval-Augmented Generation of LLM via Genetic Optimization of External Knowledge ↗Hanyu Zhu, Lance Fiondella, Jiawei Yuan et al.
  72. NeuroH-TGL: Neuro-Heterogeneity Guided Temporal Graph Learning Strategy for Brain Disease Diagnosis ↗Shengrong Li, Qi Zhu, Chunwei Tian et al.
  73. NeuroPath: Neurobiology-Inspired Path Tracking and Reflection for Semantically Coherent Retrieval ↗Junchen Li, Rongzheng Wang, YiHong Huang et al.
  74. NeuroRenderedFake: A Challenging Benchmark to Detect Fake Images Generated by Advanced Neural Rendering Methods ↗Chengdong Dong, B.V.K. Vijaya Kumar, Zhenyu Zhou et al.
  75. Neurons as Detectors of Coherent Sets in Sensory Dynamics ↗Joshua L. Pughe-Sanford, Xuehao Ding, Jason J. Moore et al.
  76. Neurosymbolic Diffusion Models ↗Emile van Krieken, Pasquale Minervini, Edoardo Maria Ponti et al.
  77. New Parallel and Streaming Algorithms for Directed Densest Subgraph ↗Slobodan Mitrović, Theodore Pan, Mahdi Qaempanah et al.
  78. New Perspectives on the Polyak Stepsize: Surrogate Functions and Negative Results ↗Francesco Orabona, Ryan D'Orazio
  79. Next Semantic Scale Prediction via Hierarchical Diffusion Language Models ↗Cai Long Zhou, Chenyu Wang, Dinghuai Zhang et al.
  80. No Experts, No Problem: Avoidance Learning from Bad Demonstrations ↗Huy Hoang, Tien Mai, Pradeep Reddy Varakantham
  81. No Loss, No Gain: Gated Refinement and Adaptive Compression for Prompt Optimization ↗Wenhang Shi, Yiren Chen, Shuqing Bian et al.
  82. No Object Is an Island: Enhancing 3D Semantic Segmentation Generalization with Diffusion Models ↗Fan Li, Xuan Wang, Xuanbin Wang et al.
  83. No-Regret Learning Under Adversarial Resource Constraints: A Spending Plan Is All You Need! ↗Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi et al.
  84. No-Regret Online Autobidding Algorithms in First-price Auctions ↗Yilin LI, Yuan Deng, Wei Tang et al.
  85. No-Regret Thompson Sampling for Finite-Horizon Markov Decision Processes with Gaussian Processes ↗Jasmine Bayrooti, Sattar Vakili, Amanda Prorok et al.
  86. NoPo-Avatar: Generalizable and Animatable Avatars from Sparse Inputs without Human Poses ↗Jing Wen, Alexander Gerhard Schwing, Shenlong Wang
  87. Noise Consistency Training: A Native Approach for One-step Generator in Learning Additional Controls ↗Yihong Luo, Shuchen Xue, Tianyang Hu et al.
  88. Noise Injection Reveals Hidden Capabilities of Sandbagging Language Models ↗Cameron Tice, Philipp Alexander Kreer, Nathan Helm-Burger et al.
  89. NoisyGRPO: Incentivizing Multimodal CoT Reasoning via Noise Injection and Bayesian Estimation ↗Longtian Qiu, Shan Ning, Jiaxuan Sun et al.
  90. Non-Adaptive Adversarial Face Generation ↗Sunpill Kim, Seunghun Paik, Chul-Hee Hwang et al.
  91. Non-Asymptotic Analysis Of Data Augmentation For Precision Matrix Estimation ↗Lucas Morisset, Adrien Hardy, Alain Durmus
  92. Non-Asymptotic Guarantees for Average-Reward Q-Learning with Adaptive Stepsizes ↗Zaiwei Chen
  93. Non-Clairvoyant Scheduling with Progress Bars ↗Ziyad Benomar, Romain Cosson, Alexander Lindermayr et al.
  94. Non-Convex Tensor Recovery from Tube-Wise Sensing ↗Tongle Wu, Ying Sun
  95. Non-Markovian Discrete Diffusion with Causal Language Models ↗Y.P. Zhang, Sizhuang He, Daniel Levine et al.
  96. Non-Stationary Lipschitz Bandits ↗Nicolas Nguyen, Solenne Gaucher, Claire Vernade
  97. Non-Stationary Structural Causal Bandits ↗Yeahoon Kwon, Yesong Choe, Soungmin Park et al.
  98. Non-Uniform Multiclass Learning with Bandit Feedback ↗Steve Hanneke, Amirreza Shaeiri, Hongao Wang
  99. Non-convex entropic mean-field optimization via Best Response flow ↗Razvan-Andrei Lascu, Mateusz B. Majka
  100. Non-equilibrium Annealed Adjoint Sampler ↗Jaemoo Choi, Yongxin Chen, Molei Tao et al.

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