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NeurIPS 2025: all accepted papers

5,819 papers · page 36 of 59 · the most cited first · ← NeurIPS 2025

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  1. Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning Dynamics ↗Indrashis Das, Mahmoud Safari, Steven Adriænsen et al.
  2. GraSS: Scalable Data Attribution with Gradient Sparsification and Sparse Projection ↗Pingbang Hu, Joseph Melkonian, Weijing Tang et al.
  3. GradMetaNet: An Equivariant Architecture for Learning on Gradients ↗Yoav Gelberg, Yam Eitan, Aviv Navon et al.
  4. Gradient Descent as Loss Landscape Navigation: a Normative Framework for Deriving Learning Rules ↗John J. Vastola, Samuel J. Gershman, Kanaka Rajan
  5. Gradient Multi-Normalization for Efficient LLM Training ↗Meyer Scetbon, Chao Ma, Wenbo Gong et al.
  6. Gradient-Guided Epsilon Constraint Method for Online Continual Learning ↗Song Lai, Changyi Ma, Fei Zhu et al.
  7. Gradient-Weight Alignment as a Train-Time Proxy for Generalization in Classification Tasks ↗Florian A. Hölzl, Daniel Rueckert, Georgios Kaissis
  8. Graph Alignment via Birkhoff Relaxation ↗Sushil Varma, Irène Waldspurger, Laurent Massoulié
  9. Graph Diffusion that can Insert and Delete ↗Matteo Ninniri, Marco Podda, Davide Bacciu
  10. Graph Neural Network Based Action Ranking for Planning ↗Rajesh Mangannavar, Stefan Lee, Alan Fern et al.
  11. Graph Persistence goes Spectral ↗Mattie Ji, Amauri Holanda de Souza Junior, Vikas Garg
  12. Graph Your Own Prompt ↗Xiao Pan Ding, Lei Wang, Piotr Koniusz et al.
  13. Graph-Based Attention for Differentiable MaxSAT Solving ↗S Moriyama, Katsumi Inoue
  14. Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models ↗Haoyu Wang, Peihao Wang, Mufei Li et al.
  15. Graph-based Symbolic Regression with Invariance and Constraint Encoding ↗Ziyu Xiang, Kenna Ashen, Xiaofeng Qian et al.
  16. GraphChain: Large Language Models for Large-scale Graph Analysis via Tool Chaining ↗Chunyu Wei, HU Wen-ji, Xingjia Hao et al.
  17. GraphTOP: Graph Topology-Oriented Prompting for Graph Neural Networks ↗Xingbo Fu, Zhenyu Lei, Zihan Chen et al.
  18. Graphs Help Graphs: Multi-Agent Graph Socialized Learning ↗Jialu Li, Yu Wang, Pengfei Zhu et al.
  19. Graph–Smoothed Bayesian Black-Box Shift Estimator and Its Information Geometry ↗Masanari Kimura
  20. Grasp2Grasp: Vision-Based Dexterous Grasp Translation via Schrödinger Bridges ↗Tao Zhong, Jonah Buchanan, Christine Allen-Blanchette
  21. Greed is Good: A Unifying Perspective on Guided Generation ↗Zander Blasingame, Chen Liu
  22. Greedy Algorithms for Structured Bandits: A Sharp Characterization of Asymptotic Success / Failure ↗Aleksandrs Slivkins, Yunzong Xu, Shiliang Zuo
  23. Greedy Sampling Is Provably Efficient For RLHF ↗Di Wu, Chengshuai Shi, Jing Yang et al.
  24. Ground-Compose-Reinforce: Grounding Language in Agentic Behaviours using Limited Data ↗Andrew Li, Toryn Q. Klassen, Andrew Wang et al.
  25. Grounding Language with Vision: A Conditional Mutual Information Calibrated Decoding Strategy for Reducing Hallucinations in LVLMs ↗Hao Fang, Changle Zhou, Jiawei Kong et al.
  26. Guarantees for Alternating Least Squares in Overparameterized Tensor Decompositions ↗Dionysis Arvanitakis, Vaidehi Srinivas, Aravindan Vijayaraghavan
  27. GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning ↗Yue Liu, Shengfang Zhai, Mingzhe Du et al.
  28. GuideFlow3D: Optimization-Guided Rectified Flow For Appearance Transfer ↗Sayan Deb Sarkar, Sinisa Stekovic, Vincent Lepetit et al.
  29. Guided Diffusion Sampling on Function Spaces with Applications to PDEs ↗Jiachen Yao, Abbas Mammadov, Julius Berner et al.
  30. G²M: A Generalized Gaussian Mirror Method to Boost Feature Selection Power ↗Hongyu Shen, Zhizhen Jane Zhao
  31. H-SPLID: HSIC-based Saliency Preserving Latent Information Decomposition ↗Lukas Miklautz, Chengzhi Shi, Andrii Shkabrii et al.
  32. HALO: Hadamard-Assisted Lower-Precision Optimization for LLMs ↗Saleh Ashkboos, Mahdi Nikdan, Rush Tabesh et al.
  33. HAODiff: Human-Aware One-Step Diffusion via Dual-Prompt Guidance ↗JUE GONG, Tingyu Yang, Jingkai Wang et al.
  34. HARDMath2: A Benchmark for Applied Mathematics Built by Students as Part of a Graduate Class ↗James V. Roggeveen, Erik Wang, David Ettel et al.
  35. HBLLM: Wavelet-Enhanced High-Fidelity 1-Bit Quantization for LLMs ↗Ningning Chen, Weicai Ye, Ying Lan Jiang
  36. HEIR: Learning Graph-Based Motion Hierarchies ↗Cheng Zheng, William Koch, Baiang Li et al.
  37. HIDISC: A Hyperbolic Framework for Domain Generalization with Generalized Category Discovery ↗Vaibhav Rathore, Divyam Gupta, Biplab Banerjee
  38. HMARL-CBF – Hierarchical Multi-Agent Reinforcement Learning with Control Barrier Functions for Safety-Critical Autonomous Systems ↗H. M. Sabbir Ahmad, Ehsan Sabouni, Alexander Wasilkoff et al.
  39. HO-Cap: A Capture System and Dataset for 3D Reconstruction and Pose Tracking of Hand-Object Interaction ↗Jikai Wang, Qifan Zhang, Yu-Wei Chao et al.
  40. HOComp: Interaction-Aware Human-Object Composition ↗Dong Liang, Jinyuan Jia, Yuhao Liu et al.
  41. HQA-VLAttack: Towards High Quality Adversarial Attack on Vision-Language Pre-Trained Models ↗Han Hsi Indy Liu, Jiaqi Li, Zhi Xu et al.
  42. HYPERION: Fine-Grained Hypersphere Alignment for Robust Federated Graph Learning ↗Frank Wan, Xiaoran Shang, Yuxin Wu et al.
  43. Hadamard Test is Sufficient for Efficient Quantum Gradient Estimation with Lie Algebraic Symmetries ↗Mohsen Heidari, Masih Mozakka, Wojciech Szpankowski A
  44. Hadamax Encoding: Elevating Performance in Model-Free Atari ↗Jacob E. Kooi, Zhao Yang, Vincent François-Lavet
  45. HairFree: Compositional 2D Head Prior for Text-Driven 360° Bald Texture Synthesis ↗Mirela Oštrek, Michael J. Black, Justus Thies
  46. Hamiltonian Descent Algorithms for Optimization: Accelerated Rates via Randomized Integration Time ↗Qiang Fu, Andre Wibisono
  47. Hamiltonian Neural PDE Solvers through Functional Approximation ↗Anthony Zhou, Amir Barati Farimani
  48. Handling Label Noise via Instance-Level Difficulty Modeling and Dynamic Optimization ↗Kuan Zhang, Chengliang Chai, Jing‐Zhe Xu et al.
  49. Handling Missing Responses under Cluster Dependence with Applications to Language Model Evaluation ↗Zhenghao Zeng, David T. Arbour, Avi Feller et al.
  50. Hardware-aligned Hierarchical Sparse Attention for Efficient Long-term Memory Access ↗Xiang Hu, Jiaqi Leng, Jun Zhao et al.
  51. Harmony in Divergence: Towards Fast, Accurate, and Memory-efficient Zeroth-order LLM Fine-tuning ↗Qitao Tan, Jun Liu, Zheng Zhan et al.
  52. Harnessing Feature Resonance under Arbitrary Target Alignment for Out-of-Distribution Node Detection ↗Shenzhi Yang, Junbo Zhao, Sharon Li et al.
  53. Harnessing the Computation Redundancy in ViTs to Boost Adversarial Transferability ↗Jiani Liu, Zhiyuan Wang, Zeliang Zhang et al.
  54. Hawaii: Hierarchical Visual Knowledge Transfer for Efficient Vision-Language Models ↗Yimu Wang, Mozhgan Nasr Azadani, Sean Sedwards et al.
  55. Head Pursuit: Probing Attention Specialization in Multimodal Transformers ↗Lorenzo Basile, Valentino Maiorca, Diego Doimo et al.
  56. HeavyWater and SimplexWater: Distortion-free LLM Watermarks for Low-Entropy Distributions ↗Dor Tsur, Carol Xuan Long, Claudio Mayrink Verdun et al.
  57. Hephaestus: Mixture Generative Modeling with Energy Guidance for Large-scale QoS Degradation ↗Nguyen Do, Bach Ngo, Youval Kashuv et al.
  58. HeroFilter: Adaptive Spectral Graph Filter for Varying Heterophilic Relations ↗Shuaicheng Zhang, Haohui Wang, Junhong Lin et al.
  59. Hessian-guided Perturbed Wasserstein Gradient Flows for Escaping Saddle Points ↗Naoya Yamamoto, Juno Kim, Taiji Suzuki
  60. Heterogeneous Adversarial Play in Interactive Environments ↗Manjie Xu, Xinyi Yang, Jiayu Zhan et al.
  61. Heterogeneous Graph Transformers for Simultaneous Mobile Multi-Robot Task Allocation and Scheduling under Temporal Constraints ↗Batuhan Altundas, Shengkang Chen, Shivika Singh et al.
  62. Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems ↗Shangbin Feng, Zifeng Wang, Palash Goyal et al.
  63. HiMoLE: Towards OOD-Robust LoRA via Hierarchical Mixture of Experts ↗Yinuo Jiang, Yan Xiaodong, Keyan Ding et al.
  64. HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell data ↗Siddharth Viswanath, Hiren Madhu, Dhananjay Bhaskar et al.
  65. Hierachical Balance Packing: Towards Efficient Supervised Fine-tuning for Long-Context LLM ↗Yongqiang Yao, Jingru Tan, Kaihuan Liang et al.
  66. Hierarchical Demonstration Order Optimization for Many-shot In-Context Learning ↗Yinhan He, Wendy Zheng, Song Wang et al.
  67. Hierarchical Implicit Neural Emulators ↗Ruoxi Jiang, Xiao Zhang, Karan Jakhar et al.
  68. Hierarchical Koopman Diffusion: Fast Generation with Interpretable Diffusion Trajectory ↗Hanru Bai, Weiyang Ding, Difan Zou
  69. Hierarchical Optimization via LLM-Guided Objective Evolution for Mobility-on-Demand Systems ↗Yi Zhang, Yushen Long, Yun Ni et al.
  70. Hierarchical Retrieval: The Geometry and a Pretrain-Finetune Recipe ↗Chong You, Rajesh Jayaram, Ananda Theertha Suresh et al.
  71. Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems ↗Saeed Amizadeh, Sara Abdali, Yinheng Li et al.
  72. Hierarchical Shortest-Path Graph Kernel Network ↗Jiaxin Wang, Wenxuan Tu, Jieren Cheng
  73. High Dynamic Range Imaging with Time-Encoding Spike Camera ↗Zhenkun Zhu, Ruiqin Xiong, Jiyu Xie et al.
  74. High Resolution UDF Meshing via Iterative Networks ↗Federico Stella, Nicolas Talabot, Hieu Trung Le et al.
  75. High-Dimensional Calibration from Swap Regret ↗Maxwell Fishelson, Noah Golowich, Mehryar Mohri et al.
  76. High-Performance Arithmetic Circuit Optimization via Differentiable Architecture Search ↗Xilin Xia, Jie Wang, Wanbo Zhang et al.
  77. High-order Equivariant Flow Matching for Density Functional Theory Hamiltonian Prediction ↗Seongsu Kim, Nayoung Kim, Dongwoo Kim et al.
  78. High-order Interactions Modeling for Interpretable Multi-Agent Q-Learning ↗Qiang Xu, Yuanyang Zhu, Xuefei Wu et al.
  79. Higher-Order Learning with Graph Neural Networks via Hypergraph Encodings ↗Raphaël Pellegrin, Lukas Fesser, Melanie Weber
  80. Highlighting What Matters: Promptable Embeddings for Attribute-Focused Image Retrieval ↗Siting Li, Xiang Gao, Simon S. Du
  81. Hippocampal-like Sequential Editing for Continual Knowledge Updates in Large Language Models ↗Quntian Fang, Zhen Huang, Zhiliang Tian et al.
  82. HoT-VI: Reparameterizable Variational Inference for Capturing Instance-Level High-Order Correlations ↗Junxi Xiao, Qinliang Su, Zexin Yuan
  83. Hogwild! Inference: Parallel LLM Generation via Concurrent Attention ↗Gleb Rodionov, Roman Garipov, Alina Shutova et al.
  84. Holistic Order Prediction in Natural Scenes ↗Pierre Musacchio, Hyun-Min Lee, Jaesik Park
  85. HollowFlow: Efficient Sample Likelihood Evaluation using Hollow Message Passing ↗Johann Flemming Gloy, Simon Olsson
  86. Homogeneous Algorithms Can Reduce Competition in Personalized Pricing ↗Nathanael Jo, Ashia Wilson, Kathleen Creel et al.
  87. Homogeneous Keys, Heterogeneous Values: Exploiting Local KV Cache Asymmetry for Long-Context LLMs ↗Wanyun Cui, Mingwei Xu
  88. Horizon Reduction Makes RL Scalable ↗Seohong Park, Kevin Frans, Deepinder Mann et al.
  89. HouseLayout3D: A Benchmark and Training-free Baseline for 3D Layout Estimation in the Wild ↗Valentin Bieri, Marie‐Julie Rakotosaona, Keisuke Tateno et al.
  90. How Benchmark Prediction from Fewer Data Misses the Mark ↗Guanhua Zhang, Florian E. Dorner, Moritz Hardt
  91. How Classifier Features Transfer to Downstream: An Asymptotic Analysis in a Two-Layer Model ↗Hee Bin Yoo, Sungyoon Lee, Cheongjae Jang et al.
  92. How Data Mixing Shapes In-Context Learning: Asymptotic Equivalence for Transformers with MLPs ↗Samet Demir, Zafer Doğan
  93. How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learning ↗Haotian Gao, Zheng Dong, Jiawei Yong et al.
  94. How Does Label Noise Gradient Descent Improve Generalization in the Low SNR Regime? ↗Wei Huang, Andi Han, Yujin Song et al.
  95. How Does Sequence Modeling Architecture Influence Base Capabilities of Pre-trained Language Models? Exploring Key Architecture Design Principles to Avoid Base Capabilities Degradation ↗Xin Biao Lu, Yanyan Zhao, Si Wei et al.
  96. How Does Topology Bias Distort Message Passing in Graph Recommender? A Dirichlet Energy Perspective ↗Yanbiao Ji, Yue Ding, Dan Luo et al.
  97. How Ensembles of Distilled Policies Improve Generalisation in Reinforcement Learning ↗Max Weltevrede, Moritz A. Zanger, Matthijs T. J. Spaan et al.
  98. How Far Are We from Optimal Reasoning Efficiency? ↗Jiaxuan Gao, Shu Yan, Qixin Tan et al.
  99. How Many Domains Suffice for Domain Generalization? A Tight Characterization via the Domain Shattering Dimension ↗Cynthia Dwork, Lunjia Hu, Han Shao
  100. How Memory in Optimization Algorithms Implicitly Modifies the Loss ↗Matias D. Cattaneo, Boris Shigida

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