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NeurIPS 2025: all accepted papers

5,819 papers · page 53 of 59 · the most cited first · ← NeurIPS 2025

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  1. Speculative Jacobi-Denoising Decoding for Accelerating Autoregressive Text-to-image Generation ↗Yao Teng, Fuyun Wang, Xian Liu et al.
  2. Spend Wisely: Maximizing Post-Training Gains in Iterative Synthetic Data Bootstrapping ↗Pu Yang, Yunzhen Feng, Ziyuan Chen et al.
  3. SpiderSolver: A Geometry-Aware Transformer for Solving PDEs on Complex Geometries ↗KAI QI, Fan Wang, Zhewen Dong et al.
  4. Spik-NeRF: Spiking Neural Networks for Neural Radiance Fields ↗Gang Wan, Qinlong Lan, Zihan Li et al.
  5. Spike-RetinexFormer: Rethinking Low-light Image Enhancement with Spiking Neural Networks ↗Hongzhi Wang, Xiubo Liang, Jinxing Han et al.
  6. Spike-timing-dependent Hebbian learning as noisy gradient descent ↗Niklas Dexheimer, Sascha Gaudlitz, Johannes Schmidt-Hieber
  7. Spike4DGS: Towards High-Speed Dynamic Scene Rendering with 4D Gaussian Splatting via a Spike Camera Array ↗Qinghong Ye, Yiqian Chang, Jianing Li et al.
  8. SpikingVTG: A Spiking Detection Transformer for Video Temporal Grounding ↗Malyaban Bal, Brian Matejek, Susmit Jha et al.
  9. Spiral: Semantic-Aware Progressive LiDAR Scene Generation and Understanding ↗Dekai Zhu, Yixuan Hu, Youquan Liu et al.
  10. SplashNet: Split‑and‑Share Encoders for Accurate and Efficient Typing with Surface Electromyography ↗Nima Hadidi, Jason Chan, Ebrahim Feghhi et al.
  11. Split Gibbs Discrete Diffusion Posterior Sampling ↗Wenda Chu, Zihui Wu, Yifan Chen et al.
  12. Split conformal classification with unsupervised calibration ↗Santiago Mazuelas
  13. Spotlight Attention: Towards Efficient LLM Generation via Non-linear Hashing-based KV Cache Retrieval ↗Wenhao Li, Yuxin Zhang, Gen Luo et al.
  14. Squared families are useful conjugate priors ↗Russell Tsuchida, Jiawei Liu, Cheng Soon Ong et al.
  15. Stab-SGD: Noise-Adaptivity in Smooth Optimization with Stability Ratios ↗David A. R. Robin, Killian Bakong, Kevin Scaman
  16. Stability and Oracle Inequalities for Optimal Transport Maps between General Distributions ↗Shubo Li, Yizhe Ding, Lingzhou Xue et al.
  17. Stability and Sharper Risk Bounds with Convergence Rate O(1/n²) ↗Bo-Wei Zhu, Shaojie Li, Mingyang Yi et al.
  18. Stabilizing LTI Systems under Partial Observability: Sample Complexity and Fundamental Limits ↗Ziyi Zhang, Yorie Nakahira, Guannan Qu
  19. Stable Cinemetrics : Structured Taxonomy and Evaluation for Professional Video Generation ↗Agneet Chatterjee, Rahim Entezari, Maksym Zhuravinskyi et al.
  20. Stable Coresets via Posterior Sampling: Aligning Induced and Full Loss Landscapes ↗Wei-I Chang, Rajiv Khanna
  21. Stable Gradients for Stable Learning at Scale in Deep Reinforcement Learning ↗Roger Creus Castanyer, Johan Obando-Ceron, Lu Li et al.
  22. Stable Matching with Ties: Approximation Ratios and Learning ↗Shiyun Lin, Simon Mauras, Nadav Merlis et al.
  23. Stable Minima of ReLU Neural Networks Suffer from the Curse of Dimensionality: The Neural Shattering Phenomenon ↗Tongtong Liang, Dan Qiao, Yu-Xiang Wang et al.
  24. Stable Part Diffusion 4D: Multi-View RGB and Kinematic Parts Video Generation ↗Hao Zhang, Chun-Han Yao, Simon Donné et al.
  25. Stackelberg Learning with Outcome-based Payment ↗Tom Yan, Chicheng Zhang
  26. Stackelberg Self-Annotation: A Robust Approach to Data-Efficient LLM Alignment ↗Chu Xu, Zhixin Zhang, Tianyu Jia et al.
  27. Staggered Environment Resets Improve Massively Parallel On-Policy Reinforcement Learning ↗Sid Bharthulwar, Stone Tao, Hao Su
  28. StarTrail: Concentric Ring Sequence Parallelism for Efficient Near-Infinite-Context Transformer Model Training ↗Ziming Liu, Shaoyu Wang, Shenggan Cheng et al.
  29. State Entropy Regularization for Robust Reinforcement Learning ↗Yonatan Ashlag, Uri Koren, Mirco Mutti et al.
  30. State Size Independent Statistical Error Bound for Discrete Diffusion Models ↗Shintaro Wakasugi, Taiji Suzuki
  31. State Space Prompting via Gathering and Spreading Spatio-Temporal Information for Video Understanding ↗Jiahuan Zhou, Kai Zhu, Zhenyu Cui et al.
  32. Statistical Analysis of an Adversarial Bayesian Weak Supervision Method ↗Steven An
  33. Statistical Analysis of the Sinkhorn Iterations for Two-Sample Schrodinger Bridge Estimation ↗Ibuki Maeda, Yao Yao, Atsushi Nitanda
  34. Statistical Guarantees for High-Dimensional Stochastic Gradient Descent ↗J. Jenny Li, Zhipeng Lou, Johannes Schmidt-Hieber et al.
  35. Statistical Inference for Gradient Boosting Regression ↗Haimo Fang, Kevin Tan, Giles Hooker
  36. Statistical Inference under Performativity ↗Xiang Li, Yunai Li, Huiying Zhong et al.
  37. Statistical Parity with Exponential Weights ↗Stephen Pasteris, Chris Hicks, Vasilios Mavroudis
  38. Statistical inference for Linear Stochastic Approximation with Markovian Noise ↗Sergey Samsonov, Marina Sheshukova, Éric Moulines et al.
  39. Stealthy Yet Effective: Distribution-Preserving Backdoor Attacks on Graph Classification ↗Xiaobao Wang, Ruoxiao Sun, Yujun Zhang et al.
  40. SteerConf: Steering LLMs for Confidence Elicitation ↗Ziang Zhou, Tianyuan Jin, Jieming Shi et al.
  41. Steering Generative Models with Experimental Data for Protein Fitness Optimization ↗Jason Yang, Wenda Chu, Daniel Khalil et al.
  42. Steering Information Utility in Key-Value Memory for Language Model Post-Training ↗Chunyuan Deng, Ruidi Chang, Hanjie Chen
  43. Steering When Necessary: Flexible Steering Large Language Models with Backtracking ↗Zifeng Cheng, Jinwei Gan, Zhiwei Jiang et al.
  44. Stepsize anything: A unified learning rate schedule for budgeted-iteration training ↗Anda Tang, Yazhu Dong, Yutao Zeng et al.
  45. Stitch and Tell: A Structured Data Augmentation Method for Spatial Understanding ↗Yin Hang, Xiaomin He, Peiwen Yuan et al.
  46. Stochastic Forward-Forward Learning through Representational Dimensionality Compression ↗Zhichao Zhu, YANG QI, Hengyuan Ma et al.
  47. Stochastic Gradients under Nuisances ↗Facheng Yu, Ronak Mehta, Alex Luedtke et al.
  48. Stochastic Momentum Methods for Non-smooth Non-Convex Finite-Sum Coupled Compositional Optimization ↗Xingyu Chen, Bokun Wang, Yang Ming et al.
  49. Stochastic Optimization in Semi-Discrete Optimal Transport: Convergence Analysis and Minimax Rate ↗Ferdinand Genans, Antoine Godichon‐Baggioni, François‐Xavier Vialard et al.
  50. Stochastic Principal-Agent Problems: Computing and Learning Optimal History-Dependent Policies ↗Jiarui Gan, R Majumdar, Debmalya Mandal et al.
  51. Stochastic Process Learning via Operator Flow Matching ↗Yaozhong Shi, Zachary E. Ross, Domniki Asimaki et al.
  52. Stochastic Regret Guarantees for Online Zeroth- and First-Order Bilevel Optimization ↗Parvin Nazari, Bojian Hou, Davoud Ataee Tarzanagh et al.
  53. Stochastic Shortest Path with Sparse Adversarial Costs ↗Emmeran Johnson, Alberto Rumi, Ciara Pike-Burke et al.
  54. Stochastically Dominant Peer Prediction ↗Yichi Zhang, Shengwei Xu, Grant Robert Schoenebeck et al.
  55. Straight-Line Diffusion Model for Efficient 3D Molecular Generation ↗Yuyan Ni, Shikun Feng, Haohan Chi et al.
  56. Strassen Attention, Split VC Dimension and Compositionality in Transformers ↗Alexander Kozachinskiy, Felipe Urrutia, Hector Orellana et al.
  57. Strategic Classification with Non-Linear Classifiers ↗Benyamin Trachtenberg, Nir Rosenfeld
  58. Strategic Cost Selection in Participatory Budgeting ↗Piotr Faliszewski, Łukasz Janeczko, Andrzej Kaczmarczyk et al.
  59. Strategic Costs of Perceived Bias in Fair Selection ↗L. Elisa Celis, Lingxiao Huang, Milind Sohoni et al.
  60. Strategic Hypothesis Testing ↗Yatong Chen, Safwan Hossain, Yiling Chen
  61. Stratify or Die: Rethinking Data Splits in Image Segmentation ↗Naga Venkata Sai Jitin Jami, Thomas Altstidl, Jonas Mueller et al.
  62. StreamBP: Memory-Efficient Exact Backpropagation for Long Sequence Training of LLMs ↗Qijun Luo, Mengqi Li, Lei Zhao et al.
  63. StreamFlow: Streaming Audio Generation from Discrete Tokens via Streaming Flow Matching ↗Ha-Yeong Choi, Sang-Hoon Lee
  64. Streaming Attention Approximation via Discrepancy Theory ↗Ekaterina Kochetkova, Kshiteej Jitesh Sheth, Insu Han et al.
  65. Streaming Federated Learning with Markovian Data ↗Khiem Huynh, Malcolm Egan, Giovanni Neglia et al.
  66. Streaming Stochastic Submodular Maximization with On-Demand User Requests ↗Honglian Wang, Sijing Tu, Lutz Oettershagen et al.
  67. StruDiCO: Structured Denoising Diffusion with Gradient-free Inference-stage Boosting for Memory and Time Efficient Combinatorial Optimization ↗Yu Wang, Yang Li, Junchi Yan et al.
  68. Structural Causal Bandits under Markov Equivalence ↗Min Woo Park, Andy Arditi, Elias Bareinboim et al.
  69. Structural Entropy Guided Agent for Detecting and Repairing Knowledge Deficiencies in LLMs ↗Yifan Wei, Xiaoyan Yu, Tengfei Pan et al.
  70. Structural Information-based Hierarchical Diffusion for Offline Reinforcement Learning ↗Xianghua Zeng, Hao Peng, Yicheng Pan et al.
  71. Structure Matters: Dynamic Policy Gradient ↗Sara Klein, Xiangyuan Zhang, Tamer Başar et al.
  72. Structure-Aware Cooperative Ensemble Evolutionary Optimization on Combinatorial Problems with Multimodal Large Language Models ↗Jie Zhao, Kang Hao Cheong
  73. Structure-Aware Spectral Sparsification via Uniform Edge Sampling ↗Kaiwen He, Petros Drineas B, Rajiv Khanna
  74. Structured Initialization for Vision Transformers ↗Jianqiao Zheng, Xue-Qian Li, Hemanth Saratchandran et al.
  75. Structured Linear CDEs: Maximally Expressive and Parallel-in-Time Sequence Models ↗Benjamin Walker, Lingyi Yang, Nicola Muca Cirone et al.
  76. Structured Sparse Transition Matrices to Enable State Tracking in State-Space Models ↗Aleksandar Terzić, Nicolas Menet, Michael Hersche et al.
  77. Structured Spectral Reasoning for Frequency-Adaptive Multimodal Recommendation ↗Wei Ming Yang, Rui Fang Zhong, Yiqun Chen et al.
  78. StyleGuard: Preventing Text-to-Image-Model-based Style Mimicry Attacks by Style Perturbations ↗Yanjie Li, Wenxuan Zhang, Xinqi Lyu et al.
  79. Subgraph Federated Learning via Spectral Methods ↗Javad Aliakbari, Johan Östman, Ashkan Panahi et al.
  80. Subspace Networks: Scaling Decentralized Training with Communication-Efficient Model Parallelism ↗Sameera Ramasinghe, Thalaiyasingam Ajanthan, Gil Avraham et al.
  81. Succeed or Learn Slowly: Sample Efficient Off-Policy Reinforcement Learning for Mobile App Control ↗Georgios Papoudakis, Thomas Coste, Jianye Hao et al.
  82. Support Vector Generation: Kernelizing Large Language Models for Efficient Zero‑Shot NLP ↗Shohei Ohsawa
  83. Surface-Aware Feed-Forward Quadratic Gaussian for Frame Interpolation with Large Motion ↗Zaoming Yan, Yaomin Huang, Pengcheng Lei et al.
  84. SurfelSplat: Learning Efficient and Generalizable Gaussian Surfel Representations for Sparse-View Surface Reconstruction ↗Chensheng Dai, Shengjun Zhang, Min Chen et al.
  85. SwitchLingua: The First Large-Scale Multilingual and Multi-Ethnic Code-Switching Dataset ↗Peng Xie, Xingyuan Liu, Yequan Bie et al.
  86. Switchable Token-Specific Codebook Quantization For Face Image Compression ↗Yongbo Wang, Haonan Wang, Guodong Mu et al.
  87. SymMaP: Improving Computational Efficiency in Linear Solvers through Symbolic Preconditioning ↗Hong Wang, Jie Wang, Minghao Ma et al.
  88. Symmetry-Preserving Conformer Ensemble Networks for Molecular Representation Learning ↗Yanqiao Zhu, Yidan Shi, Yuanzhou Chen et al.
  89. SynBrain: Enhancing Visual-to-fMRI Synthesis via Probabilistic Representation Learning ↗Weijian Mai, Jiamin Wu, Yu Zhu et al.
  90. SynCL: A Synergistic Training Strategy with Instance-Aware Contrastive Learning for End-to-End Multi-Camera 3D Tracking ↗Shubo Lin, Yutong Kou, Zirui Wu et al.
  91. SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond ↗Junteng Liu, Yuanxiang Fan, Zhuo Jiang et al.
  92. Synergistic Tensor and Pipeline Parallelism ↗Mengshi Qi, Jiaxuan Peng, Jie Zhang et al.
  93. Synthesize Privacy-Preserving High-Resolution Images via Private Textual Intermediaries ↗Haoxiang Wang, Zinan Lin, Dahua Yu et al.
  94. System Prompt Optimization with Meta-Learning ↗Yumin Choi, Jinheon Baek, Sung Ju Hwang
  95. System-Embedded Diffusion Bridge Models ↗Bartłomiej Sobieski, Matthew Tivnan, Yuang Wang et al.
  96. S²NN: Sub-bit Spiking Neural Networks ↗Wenjie Wei, Malu Zhang, Jieyuan Zhang et al.
  97. T-REGS: Minimum Spanning Tree Regularization for Self-Supervised Learning ↗Julie Mordacq, David Loiseaux, Vicky S. Kalogeiton et al.
  98. T-norm Selection for Object Detection in Autonomous Driving with Logical Constraints ↗Thomas Eiter, Katsumi Inoue, Nelson Higuera et al.
  99. T2V-OptJail: Discrete Prompt Optimization for Text-to-Video Jailbreak Attacks ↗Jiayang Liu, Siyuan Liang, Shiqian Zhao et al.
  100. TADA: Improved Diffusion Sampling with Training-free Augmented DynAmics ↗Tianrong Chen, Huangjie Zheng, David Berthelot et al.

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