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NeurIPS 2025: all accepted papers

5,819 papers · page 34 of 59 · the most cited first · ← NeurIPS 2025

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  1. Feature-aware Modulation for Learning from Temporal Tabular Data ↗Hao-Run Cai, Han-Jia Ye
  2. FedGPS: Statistical Rectification Against Data Heterogeneity in Federated Learning ↗Yang Zhi-qin, Yonggang Zhang, Chenxin Li et al.
  3. FedLPA: Local Prior Alignment for Heterogeneous Federated Generalized Category Discovery ↗Geeho Kim, Jinu Lee, Bohyung Han
  4. FedMGP: Personalized Federated Learning with Multi-Group Text-Visual Prompts ↗Weihao Bo, Yanpeng Sun, Yu Wang et al.
  5. FedQS: Optimizing Gradient and Model Aggregation for Semi-Asynchronous Federated Learning ↗Yunbo Li, Jiaping Gui, Zhihang Deng et al.
  6. FedRACE: A Hierarchical and Statistical Framework for Robust Federated Learning ↗Gang Yan, Sikai Yang, Wan Du
  7. FedRAM: Federated Reweighting and Aggregation for Multi-Task Learning ↗Fan Wu, Xinyu Yan, Jiabei Liu et al.
  8. FedRW: Efficient Privacy-Preserving Data Reweighting for Enhancing Federated Learning of Language Models ↗Pingxiong Ye, Luo Junwei, Jiachen Shen et al.
  9. Federated Continual Learning via Orchestrating Multi-Scale Expertise ↗Xiaoyang Yi, Yang Liu, Binhan Yang et al.
  10. Federated Dialogue-Semantic Diffusion for Emotion Recognition under Incomplete Modalities ↗Xihang Qiu, Jiarong Cheng, Yuhao Fang et al.
  11. Feedback-Aware MCTS for Goal-Oriented Information Seeking ↗Harshita Chopra, Chirag Shah
  12. Feel-Good Thompson Sampling for Contextual Bandits: a Markov Chain Monte Carlo Showdown ↗Emile Anand, Sarah Liaw
  13. Few-Shot Knowledge Distillation of LLMs With Counterfactual Explanations ↗Faisal Hamman, Pasan Dissanayake, Yanjun Fu et al.
  14. Filter Like You Test: Data-Driven Data Filtering for CLIP Pretraining ↗Mikey Shechter, Yair Carmon
  15. Final-Model-Only Data Attribution with a Unifying View of Gradient-Based Methods ↗Dennis Wei, Inkit Padhi, Soumya Ghosh et al.
  16. Find your Needle: Small Object Image Retrieval via Multi-Object Attention Optimization ↗Michael Green, Matan Levy, Issar Tzachor et al.
  17. Finding Low-Rank Matrix Weights in DNNs via Riemannian Optimization: RAdaGrad and RAdamW ↗Fengmiao Bian, Jinyang ZHENG, Ziyun Liu et al.
  18. Finding and Reactivating Post-Trained LLMs' Hidden Safety Mechanisms ↗Mingjie Li, Wai Man Si, Michael Backes A et al.
  19. Finding separatrices of dynamical flows with Deep Koopman Eigenfunctions ↗Kabir Dabholkar, Omri Barak
  20. Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods ↗Oussama Zékri, Nicolas Boullé
  21. FineGRAIN: Evaluating Failure Modes of Text-to-Image Models with Vision Language Model Judges ↗Kevin Hayes, Micah Goldblum, Vikash Sehwag et al.
  22. FineRS: Fine-grained Reasoning and Segmentation of Small Objects with Reinforcement Learning ↗Lu Zhang, Jiazuo Yu, Haomiao Xiong et al.
  23. Finite Sample Analyses for Continuous-time Linear Systems: System Identification and Online Control ↗Hongyi Zhou, Jingwei Li, Jingzhao Zhang
  24. Finite Sample Analysis of Linear Temporal Difference Learning with Arbitrary Features ↗Zixuan Xie, Xinyu Liu, Rohan Chandra et al.
  25. Finite-Sample Analysis of Policy Evaluation for Robust Average Reward Reinforcement Learning ↗Yang Xu, Washim Uddin Mondal, Vaneet Aggarwal
  26. Finite-Time Analysis of Stochastic Nonconvex Nonsmooth Optimization on the Riemannian Manifolds ↗Emre Sahinoglu, Youbang Sun, Shahin Shahrampour
  27. Finite-Time Bounds for Average-Reward Fitted Q-Iteration ↗Jongmin Lee, Ernest K. Ryu
  28. Fire360: A Benchmark for Robust Perception and Episodic Memory in Degraded 360° Firefighting Video ↗Aditi Tiwari, Farzaneh Masoud, Dac Da Nguyen et al.
  29. First Attentions Last: Better Exploiting First Attentions for Efficient Parallel Training ↗Gyudong Kim, Hyukju Na, Jin Kim et al.
  30. First SFT, Second RL, Third UPT: Continual Improving Multi-Modal LLM Reasoning via Unsupervised Post-Training ↗Lai Wei, Yuting Li, Chen Wang et al.
  31. Fisher meets Feynman: score-based variational inference with a product of experts ↗Diana Cai, Robert Gower, David M. Blei et al.
  32. Fit the Distribution: Cross-Image/Prompt Adversarial Attacks on Multimodal Large Language Models ↗Hai Yan, Haijian Ma, Xiaowen Cai et al.
  33. Fix False Transparency by Noise Guided Splatting ↗Aly El Hakie, Yiren Lu, Yu Yin et al.
  34. Fixed-Point RNNs: Interpolating from Diagonal to Dense ↗Sajad Movahedi, Felix Sarnthein, Nicola Muca Cirone et al.
  35. Fixing It in Post: A Comparative Study of LLM Post-Training Data Quality and Model Performance ↗Aladin Djuhera, Swanand Kadhe, Syed Zawad et al.
  36. FlareX: A Physics-Informed Dataset for Lens Flare Removal via 2D Synthesis and 3D Rendering ↗Lishen Qu, Zhihao Liu, Jinshan Pan et al.
  37. FlashBias: Fast Computation of Attention with Bias ↗Hong Ren Wu, Minghao Guo, Yuxin Ma et al.
  38. FlashMo: Geometric Interpolants and Frequency-Aware Sparsity for Scalable Efficient Motion Generation ↗Zeyu Zhang, Yiran Wang, Danning Li et al.
  39. Flat Channels to Infinity in Neural Loss Landscapes ↗Flavio Martinelli, Alexander van Meegen, Berfin Şimşek et al.
  40. Flatten Graphs as Sequences: Transformers are Scalable Graph Generators ↗Dexiong Chen, Markus Krimmel, Karsten Borgwardt
  41. Flattening Hierarchies with Policy Bootstrapping ↗John Zhou, Jonathan C. Kao
  42. Flex-Judge: Text-Only Reasoning Unleashes Zero-Shot Multimodal Evaluators ↗Jongwoo Ko, Sungnyun Kim, Sungwoo Cho et al.
  43. Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows ↗Ruixiang Zhang, Shuangfei Zhai, Jiatao Gu et al.
  44. Flexible Realignment of Language Models ↗Wenhong Zhu, Ruobing Xie, Weinan Zhang et al.
  45. Flexible inference for animal learning rules using neural networks ↗Yuhan Helena Liu, Victor Geadah, Jonathan W. Pillow
  46. Flick: Empowering Federated Learning with Commonsense Knowledge ↗Ran Zhu, Mingkun Yang, Shiqiang Wang et al.
  47. Flow Density Control: Generative Optimization Beyond Entropy-Regularized Fine-Tuning ↗Riccardo De Santi, Marin Vlastelica, Ya-Ping Hsieh et al.
  48. Flow Equivariant Recurrent Neural Networks ↗Andy Keller
  49. Flow Field Reconstruction with Sensor Placement Policy Learning ↗Ruoyan Li, Frank Wan, Zijie Huang et al.
  50. Flow Matching Neural Processes ↗Hussen Abu Hamad, Dan Rosenbaum
  51. Flow based approach for Dynamic Temporal Causal models with non-Gaussian or Heteroscedastic Noises ↗Abdellah Rahmani, Pascal Frossard B
  52. FlowCut: Rethinking Redundancy via Information Flow for Efficient Vision-Language Models ↗Jintao Tong, Wenwei Jin, Pengda Qin et al.
  53. FlowDAS: A Stochastic Interpolant-based Framework for Data Assimilation ↗Siyi Chen, Yixuan Jia, Qing Qu et al.
  54. FlowFeat: Pixel-Dense Embedding of Motion Profiles ↗Nikita Araslanov, Anna Sonnweber, Daniel Cremers
  55. FlowMixer: A Depth-Agnostic Neural Architecture for Interpretable Spatiotemporal Forecasting ↗Fares Mehouachi, Saif Eddin Jabari
  56. FlowMo: Variance-Based Flow Guidance for Coherent Motion in Video Generation ↗Ariel Shaulov, Itay Hazan, Lior Wolf et al.
  57. FlowMoE: A Scalable Pipeline Scheduling Framework for Distributed Mixture-of-Experts Training ↗Yunqi Gao, Bing Hu, Mahdi Boloursaz Mashhadi et al.
  58. FlowNet: Modeling Dynamic Spatio-Temporal Systems via Flow Propagation ↗Yutong Feng, Xu Liu, Yutong Xia et al.
  59. FlowPrune: Accelerating Attention Flow Calculation by Pruning Flow Network ↗Shuo Xu, Yu Chen, Shuxia Lin et al.
  60. FoGE: Fock Space inspired encoding for graph prompting ↗Takis Chytas, Rudrasis Chakraborty, Vikas Singh
  61. Focus-Then-Reuse: Fast Adaptation in Visual Perturbation Environments ↗Jiahui Wang, Chao Chen, Jiacheng Xu et al.
  62. Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models ↗Louis Béthune, David Vigouroux, Yilun Du et al.
  63. Follow-the-Perturbed-Leader Nearly Achieves Best-of-Both-Worlds for the m-Set Semi-Bandit Problems ↗Jingxin Zhan, Yuchen Xin, Chenjie Sun et al.
  64. For Better or for Worse, Transformers Seek Patterns for Memorization ↗Madhur Panwar, Gail Weiss, Navin Goyal et al.
  65. ForceFM: Enhancing Protein-Ligand Predictions through Force-Guided Flow Matching ↗Huanlei Guo, Song LIU, Bing‐Yi Jing
  66. Foresight: Adaptive Layer Reuse for Accelerated and High-Quality Text-to-Video Generation ↗Muhammad Adnan, Nithesh Kurella, Akhil Arunkumar et al.
  67. Forging Time Series with Language: A Large Language Model Approach to Synthetic Data Generation ↗Cécile Rousseau, Tobia Boschi, Giandomenico Cornacchia et al.
  68. Formal Models of Active Learning from Contrastive Examples ↗Farnam Mansouri, Hans Simon, Adish Kumar Singla et al.
  69. Fortifying Time Series: DTW-Certified Robust Anomaly Detection ↗Shijie Liu, Tansu Alpcan, Christopher A. Leckie et al.
  70. Foundation Cures Personalization: Improving Personalized Models’ Prompt Consistency via Hidden Foundation Knowledge ↗Yiyang Cai, Zhengkai Jiang, Yulong Liu et al.
  71. Foundation Models for Scientific Discovery: From Paradigm Enhancement to Paradigm Transition ↗Fan Liu, Jindong Han, Tengfei Lyu et al.
  72. Foundations of Top-k Decoding for Language Models ↗Georgy Noarov, Soham Mallick, Tao Wang et al.
  73. FraPPE: Fast and Efficient Preference-Based Pure Exploration ↗Udvas Das, Apurv Shukla, Debabrota Basu
  74. FracFace: Breaking the Visual Clues—Fractal-Based Privacy-Preserving Face Recognition ↗Wanying Dai, Beibei Li, Naipeng Dong et al.
  75. Fractional Langevin Dynamics for Combinatorial Optimization via Polynomial-Time Escape ↗Shiyue Wang, Ziao Guo, Changhong Lü et al.
  76. FreeControl: Efficient, Training-Free Structural Control via One-Step Attention Extraction ↗Lin Jiang, Xinyu Chen, Song Wu et al.
  77. FreshStack: Building Realistic Benchmarks for Evaluating Retrieval on Technical Documents ↗Nandan Thakur, Jimmy Lin, Sam Havens et al.
  78. From Average-Iterate to Last-Iterate Convergence in Games: A Reduction and Its Applications ↗Yang Cai, Haipeng Luo, Chen-Yu Wei et al.
  79. From Black-box to Causal-box: Towards Building More Interpretable Models ↗Inwoo Hwang, Yushu Pan, Elias Bareinboim
  80. From Bytes to Ideas: Language Modeling with Autoregressive U-Nets ↗Mathurin Videau, Badr Youbi Idrissi, Alessandro Leite et al.
  81. From Condensation to Rank Collapse: A Two-Stage Analysis of Transformer Training Dynamics ↗Zhengan Chen, Tao Luo
  82. From Contextual Combinatorial Semi-Bandits to Bandit List Classification: Improved Sample Complexity with Sparse Rewards ↗Liad Erez, Tomer Koren
  83. From Counterfactuals to Trees: Competitive Analysis of Model Extraction Attacks ↗Awa Khouna, Julien Ferry, Thibaut Vidal
  84. From Cradle to Cane: A Two-Pass Framework for High-Fidelity Lifespan Face Aging ↗Tao Liu, Dafeng Zhang, Gengchen Li et al.
  85. From Euler to AI: Unifying Formulas for Mathematical Constants ↗Tomer Raz, Michael Shalyt, Elyasheev Leibtag et al.
  86. From Faults to Features: Pretraining to Learn Robust Representations against Sensor Failures ↗Jens U. Brandt, Noah Christoph Pütz, Marcus Greiff et al.
  87. From Human Attention to Diagnosis: Semantic Patch-Level Integration of Vision-Language Models in Medical Imaging ↗Dmitry Lvov, Ilya Pershin
  88. From Indicators to Insights: Diversity-Optimized for Medical Series-Text Decoding via LLMs ↗Xiyuan Jin, Jing Wang, Ziwei Lin et al.
  89. From Information to Generative Exponent: Learning Rate Induces Phase Transitions in SGD ↗Konstantinos Tsiolis, Alireza Mousavi-Hosseini, Murat A. Erdogdu
  90. From Judgment to Interference: Early Stopping LLM Harmful Outputs via Streaming Content Monitoring ↗Yang Li, Qiang Sheng, Yehan Yang et al.
  91. From Kolmogorov to Cauchy: Shallow XNet Surpasses KANs ↗Xin Li, Xiaotao Zheng, Zhihong Jeff Xia
  92. From Linear to Nonlinear: Provable Weak-to-Strong Generalization through Feature Learning ↗Junsoo Oh, Jerry Song, Chulhee Yun
  93. From Noise to Narrative: Tracing the Origins of Hallucinations in Transformers ↗Praneet Suresh, Jack Stanley, Sonia Joseph et al.
  94. From Objects to Anywhere: A Holistic Benchmark for Multi-level Visual Grounding in 3D Scenes ↗Tianxu Wang, Zhuofan Zhang, Ziyu Zhu et al.
  95. From Pixels to Views: Learning Angular-Aware and Physics-Consistent Representations for Light Field Microscopy ↗Feng He, Guodong Tan, Qiankun Li et al.
  96. From Pose to Muscle: Multimodal Learning for Piano Hand Muscle Electromyography ↗Ruofan Liu, Yichen Peng, Takanori Oku et al.
  97. From Pretraining to Pathology: How Noise Leads to Catastrophic Inheritance in Medical Models ↗HAO SUN, Zhongyi Han, Hao Chen et al.
  98. From Self-Check to Consensus: Bayesian Strategic Decoding in Large Language Models ↗Weitong Zhang, Chengqi Zang, Bernhard Kainz
  99. From Sequence to Structure: Uncovering Substructure Reasoning in Transformers ↗Xinnan Dai, Kai Yang, Jay Revolinsky et al.
  100. From Shortcut to Induction Head: How Data Diversity Shapes Algorithm Selection in Transformers ↗Ryotaro Kawata, Yujin Song, Alberto Bietti et al.

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