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NeurIPS 2025: all accepted papers

5,819 papers · page 42 of 59 · the most cited first · ← NeurIPS 2025

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  1. Memory by accident: a theory of learning as a byproduct of network stabilization ↗Basile Confavreux, William Dorrell, Nishil Patel et al.
  2. Memory-Augmented Potential Field Theory: A Framework for Adaptive Control in Non-Convex Domains ↗Dongzhe Zheng, Wenjie Mei
  3. Memory-Efficient Training with In-Place FFT Implementation ↗XINYU DING, Bangtian Liu, Siyu Liao et al.
  4. Memory-Integrated Reconfigurable Adapters: A Unified Framework for Settings with Multiple Tasks ↗Susmit Agrawal, Krishn Vishwas Kher, Saksham Mittal et al.
  5. MergeBench: A Benchmark for Merging Domain-Specialized LLMs ↗Yifei He, Siqi Zeng, Yuzheng Hu et al.
  6. Merlin L48 Spectrogram Dataset ↗Aaron Sun, Subhransu Maji, Grant Van Horn
  7. Mesh-RFT: Enhancing Mesh Generation via Fine-grained Reinforcement Fine-Tuning ↗Jian Liu, Jing Xu, Song Guo et al.
  8. MeshCoder: LLM-Powered Structured Mesh Code Generation from Point Clouds ↗Bingquan Dai, Luo Li, Qihong Tang et al.
  9. Meta Guidance: Incorporating Inductive Biases into Deep Time Series Imputers ↗Jiacheng You, Xinyang Chen, Yu Sun et al.
  10. Meta-D2AG: Causal Graph Learning with Interventional Dynamic Data ↗Tian Gao, Songtao Lu, Junkyu Lee et al.
  11. Meta-Learning Objectives for Preference Optimization ↗Carlo Alfano, Silvia Sapora, Jakob Foerster et al.
  12. Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex ↗Meng-Lin Yu, Mu Nan, Hossein Adeli et al.
  13. Meta-learning how to Share Credit among Macro-Actions ↗Ionel-Alexandru Hosu, Traian Eugen Rebedea, Razvan Pascanu
  14. MetaDefense: Defending Fine-tuning based Jailbreak Attack Before and During Generation ↗Weisen Jiang, Sinno Jialin Pan
  15. MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts ↗Mahmoud Selim, Sriharsha Bhat, Karl Henrik Johansson
  16. Metis: A Foundation Speech Generation Model with Masked Generative Pre-training ↗Yuancheng Wang, Jiachen Zheng, J. S. Zhang et al.
  17. Metric Automata Theory: A Unifying Theory of RNNs ↗Adam Dankowiakowski, Alessandro Ronca
  18. Metritocracy: Representative Metrics for Lite Benchmarks ↗Ariel D. Procaccia, Ben Schiffer, Serena Wang et al.
  19. Metropolis Adjusted Microcanonical Hamiltonian Monte Carlo ↗Jakob Robnik, Reuben Cohn-Gordon, Uroš Seljak
  20. Metropolis-Hastings Sampling for 3D Gaussian Reconstruction ↗Hyunjin Kim, Haebeom Jung, Jaesik Park
  21. MiCADangelo: Fine-Grained Reconstruction of Constrained CAD Models from 3D Scans ↗Ahmet Serdar Karadeniz, Dimitrios Mallis, Danila Rukhovich et al.
  22. MiNT: Multi-Network Transfer Benchmark for Temporal Graph Learning ↗Kiarash Shamsi, Tran Gia Bao Ngo, Razieh Shirzadkhani et al.
  23. Military AI Needs Technically-Informed Regulation to Safeguard AI Research and its Applications ↗Riley Simmons-Edler, Jean Dong, Paul Lushenko et al.
  24. Mind the GAP! The Challenges of Scale in Pixel-based Deep Reinforcement Learning ↗Ghada Sokar, Pablo Samuel Castro
  25. Mind the Quote: Enabling Quotation-Aware Dialogue in LLMs via Plug-and-Play Modules ↗Yu Zhang, Peiwen Yuan, Yiwei Li et al.
  26. Mind-the-Glitch: Visual Correspondence for Detecting Inconsistencies in Subject-Driven Generation ↗Abdelrahman Eldesokey, Aleksandar Cvejić, Bernard Ghanem et al.
  27. MindGYM: What Matters in Question Synthesis for Thinking-Centric Fine-Tuning? ↗Zhe Xu, Daoyuan Chen, Zhenqing Ling et al.
  28. MindOmni: Unleashing Reasoning Generation in Vision Language Models with RGPO ↗Yicheng Xiao, Lin Song, Yukang Chen et al.
  29. MineAnyBuild: Benchmarking Spatial Planning for Open-world AI Agents ↗Ziming Wei, Bingqian Lin, Zijian Jiao et al.
  30. Minimal Semantic Sufficiency Meets Unsupervised Domain Generalization ↗Tan Pan, Kaiyu Guo, Dongli Xu et al.
  31. Minimax Adaptive Online Nonparametric Regression over Besov spaces ↗Paul Liautaud, Pierre Gaillard, Olivier Wintenberger
  32. Minimax-Optimal Univariate Function Selection in Sparse Additive Models: Rates, Adaptation, and the Estimation-Selection Gap ↗Shixiang Liu
  33. MisoDICE: Multi-Agent Imitation from Mixed-Quality Demonstrations ↗The Viet Bui, Tien Mai, Thanh Nguyen
  34. Miss-ReID: Delivering Robust Multi-Modality Object Re-Identification Despite Missing Modalities ↗Ruida Xi
  35. Missing Data Imputation by Reducing Mutual Information with Rectified Flows ↗Jiahao Yu, Qizhen Ying, Leyang Wang et al.
  36. Mitigating Hallucination Through Theory-Consistent Symmetric Multimodal Preference Optimization ↗Wenqi Liu, Xuemeng Song, Jiaxi Li et al.
  37. Mitigating Hallucination in VideoLLMs via Temporal-Aware Activation Engineering ↗Jianfeng Cai, Jiale Hong, Zongmeng Zhang et al.
  38. Mitigating Instability in High Residual Adaptive Sampling for PINNs via Langevin Dynamics ↗Minseok Jeong, Giup Seo, Euiseok Hwang
  39. Mitigating Intra- and Inter-modal Forgetting in Continual Learning of Unified Multimodal Models ↗Xiwen Wei, Mustafa Munir, Radu Marculescu
  40. Mitigating Occlusions in Virtual Try-On via A Simple-Yet-Effective Mask-Free Framework ↗Chenghu Du, Shengwu Xiong, junyin Wang et al.
  41. Mitigating Overthinking in Large Reasoning Models via Manifold Steering ↗Yao Huang, Huanran Chen, Shouwei Ruan et al.
  42. Mitigating Semantic Collapse in Partially Relevant Video Retrieval ↗WonJun Moon, MinSeok Jung, Gilhan Park et al.
  43. Mitigating Spurious Features in Contrastive Learning with Spectral Regularization ↗Naghmeh Ghanooni, Waleed Ahmed Abdalglil Mustafa, Dennis Wagner et al.
  44. Mitigating the Privacy–Utility Trade-off in Decentralized Federated Learning via f-Differential Privacy ↗Xiang Li, Chendi Wang, 苏步新 et al.
  45. MixAT: Combining Continuous and Discrete Adversarial Training for LLMs ↗Csaba Dékány, Stefan Balauca, Dimitar I. Dimitrov et al.
  46. Mixed-Sample SGD: an End-to-end Analysis of Supervised Transfer Learning ↗Yuyang Deng, Samory Kpotufe
  47. Mixing Expert Knowledge: Bring Human Thoughts Back To the Game of Go ↗Yichuan Ma, Linyang Li, Yongkang Chen et al.
  48. Mixture of Inputs: Text Generation Beyond Discrete Token Sampling ↗Yufan Zhuang, Liyuan Liu, Chandan Singh et al.
  49. Mixture of Scope Experts at Test: Generalizing Deeper Graph Neural Networks with Shallow Variants ↗Gangda Deng, Hongkuan Zhou, Rajgopal Kannan et al.
  50. Mixture-of-Experts Operator Transformer for Large-Scale PDE Pre-Training ↗Hong Wang, Haiyang Xin, Jie Wang et al.
  51. Mixtures of Subspaces for Bandwidth Efficient Context Parallel Training ↗Sameera Ramasinghe, Thalaiyasingam Ajanthan, Hadi M. Dolatabadi et al.
  52. MoE-CAP: Benchmarking Cost, Accuracy and Performance of Sparse Mixture-of-Experts Systems ↗Yu Jiang, Yao Fu, Yeqi Huang et al.
  53. MoE-Gyro: Self-Supervised Over-Range Reconstruction and Denoising for MEMS Gyroscopes ↗Feiyang Pan, Shenghe Zheng, Chunyan Yin et al.
  54. MoEMeta: Mixture-of-Experts Meta Learning for Few-Shot Relational Learning ↗Han Wu, Jie Yin
  55. MoESD: Unveil Speculative Decoding's Potential for Accelerating Sparse MoE ↗Zongle Huang, Lei Zhu, Zongyuan Zhan et al.
  56. MoME: Mixture of Matryoshka Experts for Audio-Visual Speech Recognition ↗Umberto Cappellazzo, Minsu Kim, Pingchuan Ma et al.
  57. MoORE: SVD-based Model MoE-ization for Conflict- and Oblivion-Resistant Multi-Task Adaptation ↗Shen Yuan, Yin Zheng, Taifeng Wang et al.
  58. MoPFormer: Motion-Primitive Transformer for Wearable-Sensor Activity Recognition ↗Hao Zhang, Zhan Zhuang, Xuehao Wang et al.
  59. MoRE-Brain: Routed Mixture of Experts for Interpretable and Generalizable Cross-Subject fMRI Visual Decoding ↗Yuxiang Wei, Yanteng Zhang, Xi Xiao et al.
  60. MobileODE: An Extra Lightweight Network ↗Le Yu, Jun Wu, Bo Gou et al.
  61. ModHiFi: Identifying High Fidelity predictive components for Model Modification ↗Dhruva Kashyap, Chaitanya Murti, Pranav K Nayak et al.
  62. Model Editing for Vision Transformers ↗Xinyi Huang, Kangfei Zhao, Long-Kai Huang
  63. Model Merging in Pre-training of Large Language Models ↗Yunshui Li, Yuntao Ma, Yan Shen et al.
  64. Model Reconciliation via Cost-Optimal Explanations in Probabilistic Logic Programming ↗Yinxu Tang, Stylianos Loukas Vasileiou, Vincent Derkinderen et al.
  65. Model Selection for Off-policy Evaluation: New Algorithms and Experimental Protocol ↗Pai Liu, Lingfeng Zhao, Shivangi Agarwal et al.
  66. Model-Informed Flows for Bayesian Inference ↗Joohwan Ko, Justin Domke
  67. Modeling Dynamic Neural Activity by combining Naturalistic Video Stimuli and Stimulus-independent Latent Factors ↗Finn Schmidt, Polina Turishcheva, Suhas Shrinivasan et al.
  68. Modeling Microenvironment Trajectories on Spatial Transcriptomics with NicheFlow ↗Kristiyan Sakalyan, Alessandro Palma, Filippo Guerranti et al.
  69. Modeling Neural Activity with Conditionally Linear Dynamical Systems ↗Victor Geadah, Amin Nejatbakhsh, David Lipshutz et al.
  70. Modeling the Economic Impacts of AI Openness Regulation ↗Tori Qiu, Benjamin Laufer, Jon M. Kleinberg et al.
  71. Model–Behavior Alignment under Flexible Evaluation: When the Best-Fitting Model Isn’t the Right One ↗Itamar Avitan, Tal Golan
  72. ModuLM: Enabling Modular and Multimodal Molecular Relational Learning with Large Language Models ↗Zhuo Chen, Yizhen Zheng, Huan Yee Koh et al.
  73. MokA: Multimodal Low-Rank Adaptation for MLLMs ↗Yake Wei, Yu Miao, Dongzhan Zhou et al.
  74. Mol-LLaMA: Towards General Understanding of Molecules in Large Molecular Language Model ↗Dongki Kim, Wonbin Lee, Sung Ju Hwang
  75. MolVision: Molecular Property Prediction with Vision Language Models ↗Deepan Adak, Yogesh Singh, Shruti Vyas
  76. MoleBridge: Synthetic Space Projecting with Discrete Markov Bridges ↗Rongchao Zhang, Yu Huang, Yongzhi Cao et al.
  77. Momentum Multi-Marginal Schrödinger Bridge Matching ↗Panagiotis Theodoropoulos, Augustinos D. Saravanos, Evangelos A. Theodorou et al.
  78. MonarchAttention: Zero-Shot Conversion to Fast, Hardware-Aware Structured Attention ↗Can Berkin Yaras, Alec Xu, Pierre Abillama et al.
  79. Monitoring Risks in Test-Time Adaptation ↗Mona Schirmer, Metod Jazbec, Christian A. Naesseth et al.
  80. MonoLift: Learning 3D Manipulation Policies from Monocular RGB via Distillation ↗Ziru Wang, Mengmeng Wang, Guang Dai et al.
  81. Monoculture or Multiplicity: Which Is It? ↗Mila Gorecki, Moritz Hardt
  82. Monotone and Separable Set Functions: Characterizations and Neural Models ↗SOUTRIK SARANGI, Yonatan Sverdlov, Nadav Dym et al.
  83. MoodAngels: A Retrieval-augmented Multi-agent Framework for Psychiatry Diagnosis ↗Mengxi Xiao, Ben Liu, He Li et al.
  84. MoonCast: High-Quality Zero-Shot Podcast Generation ↗Zeqian Ju, Dongchao Yang, Kai Shen et al.
  85. More Than Generation: Unifying Generation and Depth Estimation via Text-to-Image Diffusion Models ↗Hongkai Lin, Dingkang Liang, Mingyang DU et al.
  86. More Than Just Functional: LLM-as-a-Critique for Efficient Code Generation ↗Derui Zhu, Dingfan Chen, jinfu chen et al.
  87. More effort is needed to protect pedestrian privacy in the era of AI ↗Xingchen Zhang, Zixian Zhao
  88. More of the Same: Persistent Representational Harms Under Increased Representation ↗Jennifer Mickel, Maria De‐Arteaga, Liu Leqi et al.
  89. Motion Matters: Compact Gaussian Streaming for Free-Viewpoint Video Reconstruction ↗Jiacong Chen, Qingyu Mao, Youneng Bao et al.
  90. Motion4D: Learning 3D-Consistent Motion and Semantics for 4D Scene Understanding ↗Haoran Zhou, Gim Hee Lee
  91. MotionBind: Multi-Modal Human Motion Alignment for Retrieval, Recognition, and Generation ↗Kaleab A. Kinfu, René Vidal
  92. Mozart: Modularized and Efficient MoE Training on 3.5D Wafer-Scale Chiplet Architectures ↗Shuqing Luo, Ye Han, Pingzhi Li et al.
  93. MuRating: A High Quality Data Selecting Approach to Multilingual Large Language Model Pretraining ↗Zhixun Chen, Ping Yi Guo, Wenhan Han et al.
  94. MuSLR: Multimodal Symbolic Logical Reasoning ↗Jianyu Xu, Hao Fei, Yuhui Zhang et al.
  95. Multi-Agent Imitation by Learning and Sampling from Factorized Soft Q-Function ↗Yi-Chen Li, Zhongxiang Ling, Tao Jiang et al.
  96. Multi-Agent Learning under Uncertainty: Recurrence vs. Concentration ↗Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos et al.
  97. Multi-Agent Reinforcement Learning with Communication-Constrained Priors ↗Guang Yang, Tianpei Yang, Jingwen Qiao et al.
  98. Multi-Class Support Vector Machine with Differential Privacy ↗J.-G. Park, Yujin Choi, Jaewook Lee
  99. Multi-Environment POMDPs: Discrete Model Uncertainty Under Partial Observability ↗Eline M. Bovy, Caleb Probine, Marnix Suilen et al.
  100. Multi-Kernel Correlation-Attention Vision Transformer for Enhanced Contextual Understanding and Multi-Scale Integration ↗Hongkang Zhang, Shao‐Lun Huang, Ercan Kuruoglu et al.

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