NeurIPS 2025: all accepted papers
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- Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness ↗Stephen Pfohl, Natalie Harris, Chirag Nagpal et al.
- Understanding the Evolution of the Neural Tangent Kernel at the Edge of Stability ↗Kaiqi Jiang, Jeremy Cohen, Yuanzhi Li
- Understanding the Gain from Data Filtering in Multimodal Contrastive Learning ↗Divyansh Pareek, Sewoong Oh, Simon S. Du
- Understanding the Generalization of Stochastic Gradient Adam in Learning Neural Networks ↗Xuan Tang, Han Zhang, Yuan Cao et al.
- Understanding while Exploring: Semantics-driven Active Mapping ↗Liyan Chen, Huangying Zhan, Hairong Yin et al.
- Unextractable Protocol Models: Collaborative Training and Inference without Weight Materialization ↗Alexander Long, Chamin Hewa Koneputugodage, Thalaiyasingam Ajanthan et al.
- Uni-Instruct: One-step Diffusion Model through Unified Diffusion Divergence Instruction ↗Yifei Wang, Weimin Bai, Colin Zhang et al.
- Uni-LoRA: One Vector is All You Need ↗K. J. Li, Shaobo Han, Qing Su et al.
- Uni-RL: Unifying Online and Offline RL via Implicit Value Regularization ↗Haoran Xu, Liyuan Mao, Hui Jin et al.
- UniDomain: Pretraining a Unified PDDL Domain from Real-World Demonstrations for Generalizable Robot Task Planning ↗Haoming Ye, Yunxiao Xiao, Cewu Lu et al.
- UniEdit: A Unified Knowledge Editing Benchmark for Large Language Models ↗Qizhou Chen, Dakan Wang, Taolin Zhang et al.
- UniFoil: A Universal Dataset of Airfoils in Transitional and Turbulent Regimes for Subsonic and Transonic Flows ↗Rohit Sunil Kanchi, Benjamin Melanson, Nithin Somasekharan et al.
- UniGist: Towards General and Hardware-aligned Sequence-level Long Context Compression ↗Chenlong Deng, Zhisong Zhang, Kelong Mao et al.
- UniHG: A Large-scale Universal Heterogeneous Graph Dataset and Benchmark for Representation Learning and Cross-Domain Transferring ↗Yide Qiu, Tong Zhang, Shaoxiang Ling et al.
- UniMotion: A Unified Motion Framework for Simulation, Prediction and Planning ↗Nan Song, J H Jiang, jingyu li et al.
- UniTransfer: Video Concept Transfer via Progressive Spatio-Temporal Decomposition ↗Ge Lei, Rong Zhang, Tianhang Liu et al.
- UniViT: Unifying Image and Video Understanding in One Vision Encoder ↗feilong tang, xiangan xiangan, Haolin Yang et al.
- Unified 2D-3D Discrete Priors for Noise-Robust and Calibration-Free Multiview 3D Human Pose Estimation ↗Geng Chen, Pengfei Ren, Xufeng Jian et al.
- Unified Scaling Laws for Compressed Representations ↗Andrei Panferov, Alexandra Volkova, Ionuț-Vlad Modoranu et al.
- Unified Transferability Metrics for Time Series Foundation Models ↗Weiyang Zhang, Xinyang Chen, Xiucheng Li et al.
- Unified all-atom molecule generation with neural fields ↗Matthieu Kirchmeyer, Pedro O. Pinheiro, Emma Willett et al.
- Uniform Wrappers: Bridging Concave to Quadratizable Functions in Online Optimization ↗Mohammad Pedramfar, Christopher Quinn, Vaneet Aggarwal
- Unifying Attention Heads and Task Vectors via Hidden State Geometry in In-Context Learning ↗Haolin Yang, Hakaze Cho, Yiqiao Zhong et al.
- Unifying Proportional Fairness in Centroid and Non-Centroid Clustering ↗Benjamin Cookson, Nisarg Shah, Ziqi Yu
- Unifying Reconstruction and Density Estimation via Invertible Contraction Mapping in One-Class Classification ↗Xiaolei Wang, Tianhong Dai, Huihui Bai et al.
- Unifying Symbolic Music Arrangement: Track-Aware Reconstruction and Structured Tokenization ↗Longshen Ou, Jingwei Zhao, Ziyu Wang et al.
- Unifying and Enhancing Graph Transformers via a Hierarchical Mask Framework ↗Yujie Xing, Xiao Wang, Bin Wu et al.
- UniteFormer: Unifying Node and Edge Modalities in Transformers for Vehicle Routing Problems ↗Dian Meng, Zhiguang Cao, Jie Gao et al.
- Universal Causal Inference in a Topos ↗Sridhar Mahadevan
- Universal Few-shot Spatial Control for Diffusion Models ↗Kiet Nguyen, Chanhyuk Lee, Donggyun Kim et al.
- Universal Sequence Preconditioning ↗Annie Marsden, Elad Hazan
- Unlabeled Data Improves Fine-Grained Image Zero-shot Classification with Multimodal LLMs ↗Yunqi Hong, Sohyun An, Andrew Bai et al.
- Unlearning-Aware Minimization ↗Hoki Kim, Keonwoo Kim, Sungwon Chae et al.
- Unleashing Foundation Vision Models: Adaptive Transfer for Diverse Data-Limited Scientific Domains ↗Qiankun Li, Feng He, Huabao Chen et al.
- Unleashing the Power of One-Step Diffusion based Image Super-Resolution via a Large-Scale Diffusion Discriminator ↗Jianze Li, Jiezhang Cao, Zichen Zou et al.
- Unlocker: Disentangle the Deadlock of Learning between Label-noisy and Long-tailed Data ↗shu chen, HongJun Xu, Ruichi Zhang et al.
- Unlocking Multimodal Mathematical Reasoning via Process Reward Model ↗Ruilin Luo, Zhuofan Zheng, Lei Wang et al.
- Unlocking SLM Potential for Data Analysis Code Generation via Non-Parametric Knowledge Distillation ↗Jinyang Li, Jack Williams, Nick McKenna et al.
- Unmasking Puppeteers: Leveraging Biometric Leakage to Expose Impersonation in AI-Based Videoconferencing ↗Danial Samadi Vahdati, Tai Nguyen, Ekta Prashnani et al.
- Unraveling Metameric Dilemma for Spectral Reconstruction: A High-Fidelity Approach via Semi-Supervised Learning ↗Xingxing Yang, Jie Chen, Zaifeng Yang
- Unsupervised Federated Graph Learning ↗Lele Fu, Tianchi Liao, Sheng Han Huang et al.
- Unsupervised Learning for Optimal Transport plan prediction between unbalanced graphs ↗Sonia Mazelet, Rémi Flamary, Bertrand Thirion
- Unsupervised Trajectory Optimization for 3D Registration in Serial Section Electron Microscopy using Neural ODEs ↗Zhenbang Zhang, Jingtong Feng, Hongjia Li et al.
- Unveiling Chain of Step Reasoning for Vision-Language Models with Fine-grained Rewards ↗Honghao Chen, Xingzhou Lou, Xiaokun Feng et al.
- Unveiling Concept Attribution in Diffusion Models ↗Nguyen Hung-Quang, Hoang Phan, Khoa D Doan
- Unveiling Transformer Perception by Exploring Input Manifolds ↗Alessandro Benfenati, Alfio Ferrara, Alessio Marta et al.
- Unveiling m-Sharpness Through the Structure of Stochastic Gradient Noise ↗Haocheng Luo, Mehrtash Tafazzoli Harandi, Dinh Phung et al.
- Unveiling the Compositional Ability Gap in Vision-Language Reasoning Model ↗Tianle Li, Jihai Zhang, Yongming Rao et al.
- Unveiling the Learning Mind of Language Models: A Cognitive Framework and Empirical Study ↗Zhengyu Hu, Jianxun Lian, Zheyuan Xiao et al.
- Unveiling the Spatial-temporal Effective Receptive Fields of Spiking Neural Networks ↗Jieyuan (Eric) Zhang, Xiaolong Zhou, Shuai Wang et al.
- Unveiling the Uncertainty in Embodied and Operational Carbon of Large AI Models through a Probabilistic Carbon Accounting Model ↗Xiaoyang Zhang, He Fang, Yang Deng et al.
- User-Instructed Disparity-aware Defocus Control ↗Yudong Han, Yan Ping Yang, Hao Yang et al.
- UtilGen: Utility-Centric Generative Data Augmentation with Dual-Level Task Adaptation ↗Jiyu Guo, Shuo Yang, Yiming Huang et al.
- V-CECE: Visual Counterfactual Explanations via Conceptual Edits ↗Nikolaos Spanos, Maria Lymperaiou, Giorgos Filandrianos et al.
- VADB: A Large-Scale Video Aesthetic Database with Professional and Multi-Dimensional Annotations ↗Qianqian Qiao, Dandan Zheng, Yihang Bo et al.
- VCM: Vision Concept Modeling with Adaptive Vision Token Compression via Instruction Fine-Tuning ↗Run Luo, Renke Shan, Longze Chen et al.
- VERA: Variational Inference Framework for Jailbreaking Large Language Models ↗Anamika Lochab, Lu Yan, Patrick Pynadath et al.
- VESSA: Video-based objEct-centric Self-Supervised Adaptation for Visual Foundation Models ↗Jesimon Barreto, Carlos Caetano, André de Melo Araújo et al.
- VETA-DiT: Variance-Equalized and Temporally Adaptive Quantization for Efficient 4-bit Diffusion Transformers ↗Qinkai XU, yijin liu, Yang Chen et al.
- VFRTok: Variable Frame Rates Video Tokenizer with Duration-Proportional Information Assumption ↗Tianxiong Zhong, Xingye Tian, Boyuan Jiang et al.
- VIBE: Annotation-Free Video-to-Text Information Bottleneck Evaluation for TL;DR ↗Shenghui Chen, Po-han Li, Sandeep Chinchali et al.
- VIKING: Deep variational inference with stochastic projections ↗Samuel Matthiesen, Hrittik Roy, Nicholas Krämer et al.
- VIPAMIN: Visual Prompt Initialization via Embedding Selection and Subspace Expansion ↗Jaekyun Park, Hye Won Chung
- VL-SAE: Interpreting and Enhancing Vision-Language Alignment with a Unified Concept Set ↗Shufan Shen, Junshu Sun, Qingming Huang et al.
- VLA-OS: Structuring and Dissecting Planning Representations and Paradigms in Vision-Language-Action Models ↗Chongkai Gao, Zixuan Liu, Zhenghao Chi et al.
- VLM in a flash: I/O-Efficient Sparsification of Vision-Language Model via Neuron Chunking ↗Kichang Yang, S. K. Kim, Minjae Kim et al.
- VLMs can Aggregate Scattered Training Patches ↗Zhongmin Zhou, Lingjie Chen, Chao Yang et al.
- VLMs have Tunnel Vision: Evaluating Nonlocal Visual Reasoning in Leading VLMs ↗Shmuel Berman, Jia Hao Deng
- VMDT: Decoding the Trustworthiness of Video Foundation Models ↗Yujin Potter, Zhun Wang, Nicholas Crispino et al.
- VPO: Reasoning Preferences Optimization Based on V-Usable Information ↗Zecheng Wang, Chunshan Li, Yupeng Zhang et al.
- Valid Selection among Conformal Sets ↗Mahmoud Hegazy, Liviu Aolaritei, Michael I. Jordan et al.
- Validating LLM-as-a-Judge Systems under Rating Indeterminacy ↗Luke Guerdan, Solon Barocas, Kenneth Holstein et al.
- Value Diffusion Reinforcement Learning ↗Xiaoliang Hu, Fuyun Wang, Tong Zhang et al.
- Value Gradient Guidance for Flow Matching Alignment ↗Zhen Liu, Tim Z. Xiao, Carles Domingo-Enrich et al.
- Value Improved Actor Critic Algorithms ↗Yaniv Oren, Moritz A. Zanger, Pascal Van Der Vaart et al.
- Value-Guided KV Compression for LLMs via Approximated CUR Decomposition ↗Ayan Sengupta, Siddhant Chaudhary, Tanmoy Chakraborty
- Value-Guided Search for Efficient Chain-of-Thought Reasoning ↗Kaiwen Wang, Jin Zhou, Jonathan Chang et al.
- VaporTok: RL-Driven Adaptive Video Tokenizer with Prior & Task Awareness ↗Minghao Yang, Zechen Bai, Jing Lin et al.
- VarFlow: Proper Scoring-Rule Diffusion Distillation via Energy Matching ↗Huiyang Shao, Xin Xia, Yuxi Ren et al.
- Variance-Aware Feel-Good Thompson Sampling for Contextual Bandits ↗Xuheng Li, Quanquan Gu
- Variance-Reduced Long-Term Rehearsal Learning with Quadratic Programming Reformulation ↗Wen-Bo Du, Tian Qin, Tian-Zuo Wang et al.
- Variational Inference with Mixtures of Isotropic Gaussians ↗Marguerite Petit-Talamon, Marc Lambert, Anna Korba
- Variational Learning Finds Flatter Solutions at the Edge of Stability ↗Avrajit Ghosh, Bai Cong, Rio Yokota et al.
- Variational Pólya Tree ↗Lu Xu, Tsai Hor Chan, Lequan Yu et al.
- Variational Regularized Unbalanced Optimal Transport: Single Network, Least Action ↗Yuhao Sun, Zhenyi Zhang, Zihan Wang et al.
- Variational Supervised Contrastive Learning ↗Ziwen Wang, Jiajun Fan, Thao Nguyen et al.
- Variational Task Vector Composition ↗Boyuan Zhang, Yingjun Du, Xiantong Zhen et al.
- Variational Transdimensional Inference ↗Laurence Davies, Daniel MacKinlay, Rafaël R. de Oliveira et al.
- Variational Uncertainty Decomposition for In-Context Learning ↗Inuka Jayasekera, Jacob Si, Filippo Valdettaro et al.
- Vector Database Watermarking ↗Zhiwen Ren, Wei Fan, Qiyi Yao et al.
- Vector Quantization in the Brain: Grid-like Codes in World Models ↗Xiangyuan Peng, Xingsi Dong, Si Wu
- VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code ↗Raghu Vamshi Hemadri, Jitendra Bhandari, Andre Nakkab et al.
- VeriThinker: Learning to Verify Makes Reasoning Model Efficient ↗Zigeng Chen, Xinyin Ma, Gongfan Fang et al.
- Versatile Transferable Unlearnable Example Generator ↗Zhihao Li, Jiale Cai, Gezheng Xu et al.
- Vertical Federated Feature Screening ↗Huajun Yin, Liyuan Wang, Yingqiu Zhu et al.
- ViCrit: A Verifiable Reinforcement Learning Proxy Task for Visual Perception in VLMs ↗Xiyao Wang, Zhengyuan Yang, Chao Feng et al.
- ViSPLA: Visual Iterative Self-Prompting for Language-Guided 3D Affordance Learning ↗Hritam Basak, Zhaozheng Yin
- Vicinal Label Supervision for Reliable Aleatoric and Epistemic Uncertainty Estimation ↗Linye Li, Yufei Chen, Xiaodong Yue
- Vid-SME: Membership Inference Attacks against Large Video Understanding Models ↗Qi Li, Runpeng Yu, Xinchao Wang
- VidEmo: Affective-Tree Reasoning for Emotion-Centric Video Foundation Models ↗Zhicheng Zhang, Weicheng Wang, Yongjie Zhu et al.
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