NeurIPS 2025: all accepted papers

5,819 papers · page 44 of 59 · the most cited first · ← NeurIPS 2025

Non-exchangeable Conformal Prediction with Optimal Transport: Tackling Distribution Shift with Unlabeled Data ↗Alvaro H. C. Correia, Christos Louizos
Non-monotone Submodular Optimization: p-Matchoid Constraints and Fully Dynamic Setting ↗Kiarash Banihashem, Samira Goudarzi, MohammadTaghi Hajiaghayi et al.
Non-rectangular Robust MDPs with Normed Uncertainty Sets ↗Navdeep Kumar, Adarsh Gupta, Maxence Mohamed Elfatihi et al.
Non-stationary Bandit Convex Optimization: A Comprehensive Study ↗Xiaoqi Liu, Dorian Baudry, Julian Zimmert et al.
Nonlinear Laplacians: Tunable principal component analysis under directional prior information ↗Yuxin Ma, Dmitriy Kunisky
Nonlinearly Preconditioned Gradient Methods: Momentum and Stochastic Analysis ↗Konstantinos A. Oikonomidis, Jan Quan, Panagiotis Patrinos
Nonparametric Quantile Regression with ReLU-Activated Recurrent Neural Networks ↗Hang Yu, Lyumin Wu, Wenxin Zhou et al.
NopeRoomGS: Indoor 3D Gaussian Splatting Optimization without Camera Pose Input ↗Wenbo Li, Yan Xu, Mingde Yao et al.
NormFit: A Lightweight Solution for Few-Shot Federated Learning with Non-IID Data ↗Azadeh Motamedi, Jae‐Mo Kang, Il-Min Kim
Normalization in Attention Dynamics ↗Nikita Karagodin, Shu Ge, Yury Polyanskiy et al.
Normalize Filters! Classical Wisdom for Deep Vision ↗Gustavo Pérez, Stella X. Yu
Normalizing Flows are Capable Models for Continuous Control ↗Raj Ghugare, Benjamin Eysenbach
Not All Data are Good Labels: On the Self-supervised Labeling for Time Series Forecasting ↗Yuxuan Yang, Dalin Zhang, Yuxuan Liang et al.
Novel Class Discovery for Point Cloud Segmentation via Joint Learning of Causal Representation and Reasoning ↗Yang Li, Aming Wu, Zihao Zhang et al.
Novel Exploration via Orthogonality ↗Andreas Theophilou, Özgür Şimşek
Novel View Synthesis from A Few Glimpses via Test-Time Natural Video Completion ↗Yan Xu, Yixing Wang, Stella X. Yu
Nyström-Accelerated Primal LS-SVMs: Breaking the O(an³) Complexity Bottleneck for Scalable ODEs Learning ↗Weikuo Wang, Yue Liao, Huan Luo
O(T) Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization ↗Rahul Vaze, Abhishek Sinha
OASIS: One-Shot Federated Graph Learning via Wasserstein Assisted Knowledge Integration ↗Frank Wan, Jiaru Qian, Wenke Huang et al.
OCN: Effectively Utilizing Higher-Order Common Neighbors for Better Link Prediction ↗Juntong Wang, Xiyuan Wang, Muhan Zhang
OCTDiff: Bridged Diffusion Model for Portable OCT Super-Resolution and Enhancement ↗Ye Tian, Angela McCarthy, Gabriel Gomide et al.
OMiSO: Adaptive optimization of state-dependent brain stimulation to shape neural population states ↗Yuki Minai, Joana Soldado-Magraner, Byron M. Yu et al.
OOD-Barrier: Build a Middle-Barrier for Open-Set Single-Image Test Time Adaptation via Vision Language Models ↗Boyang Jerry Peng, Sanqing Qu, Tianpei Zou et al.
OPHR: Mastering Volatility Trading with Multi-Agent Deep Reinforcement Learning ↗Zeting Chen, Xinyu Cai, Molei Qin et al.
OPTFM: A Scalable Multi-View Graph Transformer for Hierarchical Pre-Training in Combinatorial Optimization ↗Hao Yuan, Wenli Ouyang, Changwen Zhang et al.
ORIGAMISPACE: Benchmarking Multimodal LLMs in Multi-Step Spatial Reasoning with Mathematical Constraints ↗Rui Xu, Dakuan Lu, Zicheng Zhao et al.
ORIGEN: Zero-Shot 3D Orientation Grounding in Text-to-Image Generation ↗Yunhong Min, Daehyeon Choi, Kyeongmin Yeo et al.
OSKAR: Omnimodal Self-supervised Knowledge Abstraction and Representation ↗Mohamed Abdelfattah, Kaouther Messaoud, Alexandre Alahi
OSTAR: Optimized Statistical Text-classifier with Adversarial Resistance ↗Yuhan Yao, Feifei Kou, Lei Shi et al.
OSVI-WM: One-Shot Visual Imitation for Unseen Tasks using World-Model-Guided Trajectory Generation ↗Raktim Gautam Goswami, P. Krishnamurthy, Yann LeCun et al.
OVERT: A Benchmark for Over-Refusal Evaluation on Text-to-Image Models ↗Ziheng Cheng, Yixiao Huang, Hui Xu et al.
ObCLIP: Oblivious CLoud-Device Hybrid Image Generation with Privacy Preservation ↗Haoqi Wu, Wei Dai, Ming Xu et al.
Object Concepts Emerge from Motion ↗Haoqian Liang, Xiaohui Wang, Zhichao Li et al.
Object-X: Learning to Reconstruct Multi-Modal 3D Object Representations ↗Gaia Di Lorenzo, Federico Tombari, Marc Pollefeys et al.
Object-centric 3D Motion Field for Robot Learning from Human Videos ↗Zhao-Heng Yin, Sherry Yang, Pieter Abbeel
Object-centric binding in Contrastive Language-Image Pretraining ↗Rim Assouel, Pietro Astolfi, Florian Bordes et al.
Objective Soups: Multilingual Multi-Task Modeling for Speech Processing ↗A F M Saif, Lisha Chen, Xiaodong Cui et al.
Obliviator Reveals the Cost of Nonlinear Guardedness in Concept Erasure ↗Ramin Akbari, Milad Afshari, Vishnu Naresh Boddeti
OceanBench: A Benchmark for Data-Driven Global Ocean Forecasting systems ↗Anass El Aouni, Quentin Gaudel, J. Emmanuel Johnson et al.
Off-policy Reinforcement Learning with Model-based Exploration Augmentation ↗Likun Wang, Xiangteng Zhang, Yinuo Wang et al.
Offline Actor-Critic for Average Reward MDPs ↗William Powell, Jeongyeol Kwon, Qiaomin Xie et al.
Offline RL by Reward-Weighted Fine-Tuning for Conversation Optimization ↗Subhojyoti Mukherjee, Viet Lai, Raghavendra Addanki et al.
Omni-DNA: A Genomic Model Supporting Sequence Understanding, Long-context, and Textual Annotation ↗Zehui Li, Vallijah Subasri, Yifei Shen et al.
OmniDraft: A cross-vocabulary, online adaptive drafter for on-device speculative decoding ↗Ramchalam Kinattinkara Ramakrishnan, Zhaocong Yuan, Jay Zhuo et al.
OmniGen-AR: AutoRegressive Any-to-Image Generation ↗Junke Wang, Xun Wang, Qiushan Guo et al.
OmniResponse: Online Multimodal Conversational Response Generation in Dyadic Interactions ↗Cheng Luo, Jianghui Wang, Bing Li et al.
OmniSegmentor: A Flexible Multi-Modal Learning Framework for Semantic Segmentation ↗Bowen Yin, Jiao-Long Cao, Xuying Zhang et al.
OmniZoom: A Universal Plug-and-Play Paradigm for Cross-Device Smooth Zoom Interpolation ↗Xiaoan Zhu, Yue Zhao, Tianyang Hu et al.
Omnidirectional 3D Scene Reconstruction from Single Image ↗Ren Yang, Jiahao Li, Yan Lu
Omnipresent Yet Overlooked: Heat Kernels in Combinatorial Bayesian Optimization ↗Colin Doumont, Victor Picheny, Viacheslav Borovitskiy et al.
On Agnostic PAC Learning in the Small Error Regime ↗Julian Asilis, Mikael Møller Høgsgaard, Grigoris Velegkas
On Epistemic Uncertainty of Visual Tokens for Object Hallucinations in Large Vision-Language Models ↗Hoigi Seo, Dong Un Kang, Hyunjin Cho et al.
On Evaluating LLM Alignment by Evaluating LLMs as Judges ↗Yixin Liu, Pengfei Liu, Arman Cohan
On Evaluating Policies for Robust POMDPs ↗Merlijn Krale, Eline M. Bovy, Maris F. L. Galesloot et al.
On Extending Direct Preference Optimization to Accommodate Ties ↗Jinghong Chen, Guangyu Yang, Weizhe Lin et al.
On Fairness of Unified Multimodal Large Language Model for Image Generation ↗Ming Liu, Hao Chen, Jindong Wang et al.
On Group Sufficiency Under Label Bias ↗Haoran Zhang, Olawale Salaudeen, Marzyeh Ghassemi
On Hierarchies of Fairness Notions in Cake Cutting: From Proportionality to Super Envy-Freeness ↗Arnav Mehra, Alexandros Psomas
On Learning Verifiers and Implications to Chain-of-Thought Reasoning ↗Maria-Florina Balcan, Avrim L. Blum, Zhiyuan Li et al.
On Linear Mode Connectivity of Mixture-of-Experts Architectures ↗Viet-Hoang Tran, Van Hoan Trinh, Khanh Vinh Bui et al.
On Local Limits of Sparse Random Graphs: Color Convergence and the Refined Configuration Model ↗Alexander Pluska, Sagar Malhotra
On Minimax Estimation of Parameters in Softmax-Contaminated Mixture of Experts ↗Fanqi Yan, Huy Quang Nguyen, Dung Le et al.
On Optimal Steering to Achieve Exact Fairness ↗Mohit Sharma, Amit Deshpande, Chiranjib Bhattacharyya et al.
On Reasoning Strength Planning in Large Reasoning Models ↗Leheng Sheng, An Zhang, Zijian Wu et al.
On Traceability in p Stochastic Convex Optimization ↗Sasha Voitovych, Mahdi Haghifam, Idan Attias et al.
On Transferring Transferability: Towards a Theory for Size Generalization ↗Eitan Levin, Yuxin Ma, Mateo Díaz et al.
On Union-Closedness of Language Generation ↗Steve Hanneke, Amin Karbasi, Anay Mehrotra et al.
On Universality Classes of Equivariant Networks ↗Marco Pacini, Gabriele Santin, Bruno Lepri et al.
On the Bias of Next-Token Predictors Toward Systematically Inefficient Reasoning: A Shortest-Path Case Study ↗Riccardo Alberghi, Elizaveta Demyanenko, Luca Biggio et al.
On the Complexity of Finding Stationary Points in Nonconvex Simple Bilevel Optimization ↗Jincheng Cao, Ruichen Jiang, Erfan Yazdandoost Hamedani et al.
On the Convergence of Single-Timescale Actor-Critic ↗Navdeep Kumar, Priyank Agrawal, Giorgia Ramponi et al.
On the Convergence of Stochastic Smoothed Multi-Level Compositional Gradient Descent Ascent ↗Xinwen Zhang, Hongchang Gao
On the Edge of Memorization in Diffusion Models ↗Sam Buchanan, Druv Pai, Yi Ma et al.
On the Effect of Negative Gradient in Group Relative Deep Reinforcement Optimization ↗wenlong deng, Yi Ren, Muchen Li et al.
On the Emergence of Linear Analogies in Word Embeddings ↗Daniel J. Korchinski, Dhruva Karkada, Yasaman Bahri et al.
On the Empirical Power of Goodness-of-Fit Tests in Watermark Detection ↗Weiqing He, Xiang Li, Tianqi Shang et al.
On the Entropy Calibration of Language Models ↗Steven Cao, Gregory Valiant, Percy Liang
On the Existence and Complexity of Core-Stable Data Exchanges ↗Jiaxin Song, Pooja Kulkarni, Parnian Shahkar et al.
On the Expressive Power of Mixture-of-Experts for Structured Complex Tasks ↗Mingze Wang, E Weinan
On the Global Optimality of Policy Gradient Methods in General Utility Reinforcement Learning ↗Anas Barakat, Souradip Chakraborty, Peihong Yu et al.
On the Hardness of Approximating Distributions with Tractable Probabilistic Models ↗John Leland, YooJung Choi
On the Hardness of Conditional Independence Testing In Practice ↗Zheng He, Roman Pogodin, Yazhe Li et al.
On the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series Forecasting ↗Yisong Fu, Fei Wang, Zezhi Shao et al.
On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective ↗Behrad Moniri, Hamed Hassani
On the O(dK1/4) Convergence Rate of AdamW Measured by 1 Norm ↗Huan Li, Yazhu Dong, Zhouchen Lin
On the Optimal Construction of Unbiased Gradient Estimators for Zeroth-Order Optimization ↗Shaocong Ma, Heng Huang
On the Optimality of the Median-of-Means Estimator under Adversarial Contamination ↗Xabier de Juan, Santiago Mazuelas
On the Robustness of Transformers against Context Hijacking for Linear Classification ↗Tianle Li, Chenyang Zhang, Xingwu Chen et al.
On the Robustness of Verbal Confidence of LLMs in Adversarial Attacks ↗Stephen Obadinma, Xiaodan Zhu
On the Role of Hidden States of Modern Hopfield Network in Transformer ↗Tsubasa Masumura, Masato Taki
On the SAC-BL Algorithm for Anomaly Detection ↗Xinsong Ma, Jie Wu, Weiwei Liu
On the Sample Complexity Bounds of Bilevel Reinforcement Learning ↗Mudit Gaur, Utsav Singh, Amrit Singh Bedi et al.
On the Sample Complexity of Differentially Private Policy Optimization ↗Yi He, Xingyu Zhou
On the Stability and Generalization of Meta-Learning: the Impact of Inner-Levels ↗Wenjun Ding, Jingling Liu, Lixing Chen et al.
On the Stability of Graph Convolutional Neural Networks: A Probabilistic Perspective ↗Ning Zhang, Henry Kenlay, Zhang Li et al.
On the Surprising Effectiveness of Large Learning Rates under Standard Width Scaling ↗Moritz Haas, Sebastian Bordt, Ulrike Von Luxburg A et al.
On the VC dimension of deep group convolutional neural networks ↗Anna Sepliarskaia, Sophie Langer, Johannes Schmidt-Hieber
On the Value of Cross-Modal Misalignment in Multimodal Representation Learning ↗Yichao Cai, Yuhang Liu, Erdun Gao et al.
On the necessity of adaptive regularisation: Optimal anytime online learning on p-balls ↗Emmeran Johnson, David Martínez-Rubio, Ciara Pike-Burke et al.
On the rankability of visual embeddings ↗Ankit Sonthalia, Arnas Uselis, Seong Joon Oh

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📰 NeurIPS 2025: all accepted papers

NeurIPS 2025: all accepted papers