NeurIPS 2025: all accepted papers
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- Do Neural Networks Need Gradient Descent to Generalize? A Theoretical Study ↗Yotam Alexander, Yonatan Slutzky, Yuval Ran-Milo et al.
- Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data ↗Shlomi Hod, Lucas Rosenblatt, Julia Stoyanovich
- Do different prompting methods yield a common task representation in language models? ↗Guy Davidson, Todd Matthew Gureckis, Brenden M. Lake et al.
- Do-PFN: In-Context Learning for Causal Effect Estimation ↗Jake Robertson, Arik Reuter, Siyuan Guo et al.
- DoDo-Code: an Efficient Levenshtein Distance Embedding-based Code for 4-ary IDS Channel ↗Alan J. X. Guo, Sihan Sun, Xiang Wei et al.
- Document Summarization with Conformal Importance Guarantees ↗Bruce Kuwahara, Chen-Yuan Lin, Xiao Shi Huang et al.
- Does Representation Guarantee Welfare? ↗Jakob de Raaij, Ariel Procaccia, Alexandros Psomas
- Does Stochastic Gradient really succeed for bandits? ↗Dorian Baudry, Emmeran Johnson, Simon Vary et al.
- Domain-Specific Pruning of Large Mixture-of-Experts Models with Few-shot Demonstrations ↗Zican Dong, Han Peng, Peiyu Liu et al.
- Don’t Forget the Enjoin: FocalLoRA for Instruction Hierarchical Alignment in Large Language Models ↗Zitong Shi, Frank Wan, Haixin Wang et al.
- Don’t Give Up on Democratizing AI for the Wrong Reasons ↗Annette Zimmermann, Andrew Zeppa, Srijan Pandey et al.
- Don’t Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models ↗Sohyun An, Ruochen Wang, Tianyi Zhou et al.
- Don’t Trade Off Safety: Diffusion Regularization for Constrained Offline RL ↗Junyu guo, Zhi Zheng, Donghao Ying et al.
- Don’t call it privacy-preserving or human-centric pose estimation if you don’t measure privacy ↗Michele Baldassini, Francesco Pistolesi, Beatrice Lazzerini
- DoseSurv: Predicting Personalized Survival Outcomes under Continuous-Valued Treatments ↗Moritz Gögl, Yu Liu, Christopher Yau et al.
- Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the Role of Model Complexity ↗Mouïn Ben Ammar, David Brellmann, Arturo Mendoza et al.
- Doubly Robust Alignment for Large Language Models ↗Erhan Xu, Kai Ye, Hongyi Zhou et al.
- Doubly-Robust Estimation of Counterfactual Policy Mean Embeddings ↗Houssam Zenati, Bariscan Bozkurt, Arthur Gretton
- Dr. RAW: Towards General High-Level Vision from RAW with Efficient Task Conditioning ↗Wenjun Huang, Ziteng Cui, Yinqiang Zheng et al.
- DuSA: Fast and Accurate Dual-Stage Sparse Attention Mechanism Accelerating Both Training and Inference ↗Chong Wu, Jiawang Cao, Renjie Xu et al.
- Dual Alignment Framework for Few-shot Learning with Inter-Set and Intra-Set Shifts ↗Siyang Jiang, Rui Fang, Hsi-Wen Chen et al.
- Dual Prototype-Enhanced Contrastive Framework for Class-Imbalanced Graph Domain Adaptation ↗Xin Ma, Yifan Wang, Siyu Yi et al.
- Dual-Comb Ghost Imaging with Transformer-Based Reconstruction for Optical Fiber Endomicroscopy ↗David Dang, Myoung‐Gyun Suh, Maodong Gao et al.
- Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via In-the-wild Cascading Flow Optimization ↗Yixiao Chen, Shikun Sun, Jianshu Li et al.
- Dual-Res Tandem Mamba-3D: Bilateral Breast Lesion Detection and Classification on Non-contrast Chest CT ↗Jiaheng Zhou, Wei Fang, Luyuan Xie et al.
- Dual-Space Semantic Synergy Distillation for Continual Learning of Unlabeled Streams ↗Donghao Sun, Xi Wang, Xu Yang et al.
- Dual-Stage Value-Guided Inference with Margin-Based Reward Adjustment for Fast and Faithful VLM Captioning ↗Ankan Deria, Adinath Dukre, feilong tang et al.
- DualCnst: Enhancing Zero-Shot Out-of-Distribution Detection via Text-Image Consistency in Vision-Language Models ↗乐发义, Wenwu He, Chentao Cao et al.
- DualEqui: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules ↗Junjie Xu, Jiahao Zhang, Mangal Prakash et al.
- DualMPNN: Harnessing Structural Alignments for High-Recovery Inverse Protein Folding ↗Xuhui Liao, qiyu wang, Zhiqiang Liang et al.
- DualOptim: Enhancing Efficacy and Stability in Machine Unlearning with Dual Optimizers ↗Xuyang Zhong, Haochen Luo, Chen Liu
- DuoGPT: Training-free Dual Sparsity through Activation-aware Pruning in LLMs ↗Ruokai Yin, Yuhang Li, Donghyun Lee et al.
- DyFlow: Dynamic Workflow Framework for Agentic Reasoning ↗Yanbo Wang, Zixiang Xu, Yue Huang et al.
- DyMU: Dynamic Merging and Virtual Unmerging for Efficient Variable-Length VLMs ↗Zhenhailong Wang, Senthil Purushwalkam, Caiming Xiong et al.
- Dyn-O: Building Structured World Models with Object-Centric Representations ↗Zizhao Wang, Kaixin Wang, Li Zhao et al.
- DynaAct: Large Language Model Reasoning with Dynamic Action Spaces ↗Xueliang Zhao, Wei Wu, Jian Guan et al.
- DynaNav: Dynamic Feature and Layer Selection for Efficient Visual Navigation ↗Jiahui Wang, Changhao Chen
- DynaPhArM: Adaptive and Physics-Constrained Modeling for Target-Drug Complexes with Drug-Specific Adaptations ↗Diya Zhang, Mengwei Sun, Xingdan Wang et al.
- DynaRend: Learning 3D Dynamics via Masked Future Rendering for Robotic Manipulation ↗Jingyi Tian, Le Wang, Sanping Zhou et al.
- Dynamic Algorithm for Explainable k-medians Clustering under p Norm ↗Konstantin Makarychev, Ilias Papanikolaou, Liren Shan
- Dynamic Bundling with Large Language Models for Zero-Shot Inference on Text-Attributed Graphs ↗Yusheng Zhao, Qixin Zhang, Xiao Luo et al.
- Dynamic Configuration for Cutting Plane Separators via Reinforcement Learning on Incremental Graph ↗Mingxuan Ye, Jie Wang, Fangzhou Fangzhou et al.
- Dynamic Diameter in High-Dimensions against Adaptive Adversary and Beyond ↗Kiarash Banihashem, Jeff Giliberti, Samira Goudarzi et al.
- Dynamic Focused Masking for Autoregressive Embodied Occupancy Prediction ↗Yuan Sun, Julio Contreras, Jorge Ortiz
- Dynamic Gaussian Splatting from Defocused and Motion-blurred Monocular Videos ↗Xuankai Zhang, Junjin Xiao, Qing Zhang
- Dynamic Masking and Auxiliary Hash Learning for Enhanced Cross-Modal Retrieval ↗Shuang Zhang, Yue Wu, Lei Shi et al.
- Dynamic Regret Reduces to Kernelized Static Regret ↗Andrew Jacobsen, Alessandro Rudi, Francesco Orabona et al.
- Dynamic Risk Assessments for Offensive Cybersecurity Agents ↗Boyi Wei, Benedikt Stroebl, Jiacen Xu et al.
- Dynamic Semantic-Aware Correlation Modeling for UAV Tracking ↗Xinyu Zhou, Tongxin Pan, Lingyi Hong et al.
- Dynamic Test-Time Compute Scaling in Control Policy: Difficulty-Aware Stochastic Interpolant Policy ↗Inkook Chun, Seungjae Lee, Michael S. Albergo et al.
- Dynamic and Chemical Constraints to Enhance the Molecular Masked Graph Autoencoders ↗Jiahui Zhang, Wenjie Du, Yang Wang
- DynamicVerse: A Physically-Aware Multimodal Framework for 4D World Modeling ↗Kairun Wen, Yuzhi Huang, Runyu Chen et al.
- Dynamical Decoupling of Generalization and Overfitting in Large Two-Layer Networks ↗Andrea Montanari A, Pierfrancesco Urbani
- Dynamical Low-Rank Compression of Neural Networks with Robustness under Adversarial Attacks ↗Steffen Schotthöfer, Lexie Yang, Stefan Schnake
- Dynamical Properties of Tokens in Self-Attention and Effects of Positional Encoding ↗Duy-Tung Pham, An Nguyen The, Viet-Hoang Tran et al.
- Dynamical modeling of nonlinear latent factors in multiscale neural activity with real-time inference ↗Eray Erturk, Maryam Modir Shanechi
- Dynamics of Spontaneous Topic Changes in Next Token Prediction with Self-Attention ↗Mumin Jia, Jairo Diaz-Rodriguez
- Dynamics-Aligned Latent Imagination in Contextual World Models for Zero-Shot Generalization ↗Frank Röder, Jan Benad, Manfred Eppe et al.
- D²GS: Dense Depth Regularization for LiDAR-free Urban Scene Reconstruction ↗Kejing Xia, Jidong Jia, Ke Jin et al.
- E-BATS: Efficient Backpropagation-Free Test-Time Adaptation for Speech Foundation Models ↗Jiaheng Dong, Hong Guang Jia, Soumyajit Chatterjee et al.
- E-MoFlow: Learning Egomotion and Optical Flow from Event Data via Implicit Regularization ↗Wenpu Li, Bangyan Liao, Yi Zhou et al.
- E2E-VGuard: Adversarial Prevention for Production LLM-based End-To-End Speech Synthesis ↗Zhisheng Zhang, Derui Wang, Yifan Mi et al.
- E2Former: An Efficient and Equivariant Transformer with Linear-Scaling Tensor Products ↗Yunyang Li, Lin Huang, Zhihao Ding et al.
- EAP-GP: Mitigating Saturation Effect in Gradient-based Automated Circuit Identification ↗Lin Zhang, Wenshuo Dong, Zhuoran Zhang et al.
- EAReranker: Efficient Embedding Adequacy Assessment for Retrieval Augmented Generation ↗Defeng Zeng, Yaping Liu, Wei Zhang et al.
- ECO: Evolving Core Knowledge for Efficient Transfer ↗Fu Feng, Yucheng Xie, Ruixiao Shi et al.
- EDBench: Large-Scale Electron Density Data for Molecular Modeling ↗Hongxin Xiang, Ke Li, Mingquan Liu et al.
- EGGS: Exchangeable 2D/3D Gaussian Splatting for Geometry-Appearance Balanced Novel View Synthesis ↗Yancheng Zhang, Guangyu Sun, Chen Chen
- ELDET: Early-Learning Distillation with Noisy Labels for Object Detection ↗Dongmin Choi, Sangbin Lee, EungGu Yun et al.
- ELECTRA: A Cartesian Network for 3D Charge Density Prediction with Floating Orbitals ↗Jonas Elsborg, Luca Thiede, Alán Aspuru‐Guzik et al.
- EMLoC: Emulator-based Memory-efficient Fine-tuning with LoRA Correction ↗Hsi-Che Lin, Yu-Chu Yu, Kai-Po Chang et al.
- ENMA: Tokenwise Autoregression for Continuous Neural PDE Operators ↗Armand Kassaï Koupaï, Lise Le Boudec, Louis Serrano et al.
- EPA: Boosting Event-based Video Frame Interpolation with Perceptually Aligned Learning ↗Yuhan Liu, Linghui Fu, Zhen Yang et al.
- EPFL-Smart-Kitchen: An Ego-Exo Multi-Modal Dataset for Challenging Action and Motion Understanding in Video-Language Models ↗Andy Bonnetto, Haozhe Qi, Franklin Leong et al.
- ESCA: Enabling Seamless Codec Avatar Execution through Algorithm and Hardware Co-Optimization for Virtual Reality ↗Mingzhi Zhu, Ding Shang, Sai Qian Zhang
- ESCORT: Efficient Stein-variational and Sliced Consistency-Optimized Temporal Belief Representation for POMDPs ↗Yunuo Zhang, Baiting Luo, Ayan Mukhopadhyay et al.
- EVAAA: A Virtual Environment Platform for Essential Variables in Autonomous and Adaptive Agents ↗Sungwoo Lee, J.H. Lee, Sohee Kim et al.
- EVOREFUSE: Evolutionary Prompt Optimization for Evaluation and Mitigation of LLM Over-Refusal to Pseudo-Malicious Instructions ↗Xiaorui Wu, Li Fei, Xiaofeng Mao et al.
- EasySpec: Layer-Parallel Speculative Decoding for Efficient Multi-GPU Utilization ↗Yize Wu, KE GAO, Ling Li et al.
- EconGym: A Scalable AI Testbed with Diverse Economic Tasks ↗Qirui Mi, Qipeng Yang, Zijun Fan et al.
- EddyFormer: Accelerated Neural Simulations of Three-Dimensional Turbulence at Scale ↗Yiheng Du, Aditi S. Krishnapriyan
- Edit Flows: Variable Length Discrete Flow Matching with Sequence-Level Edit Operations ↗Marton Havasi, Brian Karrer, Itai Gat et al.
- Edit Less, Achieve More: Dynamic Sparse Neuron Masking for Lifelong Knowledge Editing in LLMs ↗Jinzhe Liu, Junshu Sun, Shufan Shen et al.
- Effective Neural Approximations for Geometric Optimization Problems ↗Samantha Chen, Oren Ciolli, Anastasios Sidiropoulos et al.
- Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives ↗Qixin Zhang, Yan Sun, Can Jin et al.
- Effects of Dropout on Performance in Long-range Graph Learning Tasks ↗Jasraj Singh, Keyue Jiang, Brooks Paige et al.
- EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code ↗Yuhao Qing, Boyu Zhu, Mingzhe Du et al.
- Efficient Adaptive Experimentation with Noncompliance ↗Miruna Oprescu, Brian Cho, Nathan Kallus
- Efficient Algorithms for Robust and Partial Semi-Discrete Optimal Transport ↗Pankaj Agarwal, Sharath Raghvendra, Pouyan Shirzadian et al.
- Efficient Bayesian Experiment Design with Equivariant Networks ↗Conor Igoe, Tejus Gupta, Jeff Schneider
- Efficient Data Selection at Scale via Influence Distillation ↗Mahdi Nikdan, Vincent Cohen-Addad, Dan Alistarh et al.
- Efficient Hybrid Language Model Compression through Group-Aware SSM Pruning ↗Ali Taghibakhshi, Sharath Turuvekere Sreenivas, Saurav Muralidharan et al.
- Efficient Kernelized Learning in Polyhedral Games beyond Full Information: From Colonel Blotto to Congestion Games ↗Andreas Kontogiannis, Vasilis Pollatos, Gabriele Farina et al.
- Efficient Knowledge Transfer in Federated Recommendation for Joint Venture Ecosystem ↗Yichen Li, Yijing Shan, YI LIU et al.
- Efficient Large Language Model Inference with Neural Block Linearization ↗Mete Erdogan, Francesco Tonin, Volkan Cevher
- Efficient Last-Iterate Convergence in Solving Extensive-Form Games ↗Linjian Meng, Tianpei Yang, Youzhi Zhang et al.
- Efficient Low Rank Attention for Long-Context Inference in Large Language Models ↗Tenghui Li, Guoxu Zhou, Xuyang Zhao et al.
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