NEURIPS Papers
5,858 papers found • Page 5 of 118
A faster training algorithm for regression trees with linear leaves, and an analysis of its complexity
Kuat Gazizov, Miguel A. Carreira-Perpinan
A Few Moments Please: Scalable Graphon Learning via Moment Matching
Reza Ramezanpour, Victor Manuel Tenorio Gomez, Antonio G. Marques et al.
Affine-Invariant Global Non-Asymptotic Convergence Analysis of BFGS under Self-Concordance
Qiujiang Jin, Aryan Mokhtari
AffordBot: 3D Fine-grained Embodied Reasoning via Multimodal Large Language Models
Xinyi Wang, Xun Yang, Yanlong Xu et al.
A Finite Sample Analysis of Distributional TD Learning with Linear Function Approximation
Yang Peng, Kaicheng Jin, Liangyu Zhang et al.
A Frustratingly Simple Yet Highly Effective Attack Baseline: Over 90% Success Rate Against the Strong Black-box Models of GPT-4.5/4o/o1
Zhaoyi Li, Xiaohan Zhao, Dong-Dong Wu et al.
Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization
Mingzhe Du, Anh Tuan Luu, Yue Liu et al.
AF-UMC: An Alignment-Free Fusion Framework for Unaligned Multi-View Clustering
Bohang Sun, Yuena Lin, Tao Yang et al.
AGC-Drive: A Large-Scale Dataset for Real-World Aerial-Ground Collaboration in Driving Scenarios
Yunhao Hou, Bochao Zou, Min Zhang et al.
A Generalist Intracortical Motor Decoder
Joel Ye, Fabio Rizzoglio, Xuan Ma et al.
A Generalized Binary Tree Mechanism for Private Approximation of All-Pair Shortest Distances
Zongrui Zou, Chenglin Fan, Michael Dinitz et al.
A Generalized Bisimulation Metric of State Similarity between Markov Decision Processes: From Theoretical Propositions to Applications
Zhenyu Tao, Wei Xu, Xiaohu You
A Generalized Label Shift Perspective for Cross-Domain Gaze Estimation
Hao-Ran Yang, Xiaohui Chen, Chuan-Xian Ren
A General-Purpose Theorem for High-Probability Bounds of Stochastic Approximation with Polyak Averaging
Sajad Khodadadian, Martin Zubeldia
AgentAuditor: Human-level Safety and Security Evaluation for LLM Agents
Hanjun Luo, Shenyu Dai, Chiming Ni et al.
AgentBreeder: Mitigating the AI Safety Risks of Multi-Agent Scaffolds via Self-Improvement
J Rosser, Jakob Foerster
AgentDAM: Privacy Leakage Evaluation for Autonomous Web Agents
Arman Zharmagambetov, Chuan Guo, Ivan Evtimov et al.
Agentic Plan Caching: Test-Time Memory for Fast and Cost-Efficient LLM Agents
Qizheng Zhang, Michael Wornow, Kunle Olukotun
Agentic RL Scaling Law: Spontaneous Code Execution for Mathematical Problem Solving
Xinji Mai, Haotian Xu, Xing W et al.
AGENTIF: Benchmarking Large Language Models Instruction Following Ability in Agentic Scenarios
Yunjia Qi, Hao Peng, Xiaozhi Wang et al.
AgentNet: Decentralized Evolutionary Coordination for LLM-based Multi-Agent Systems
Yingxuan Yang, Huacan Chai, Shuai Shao et al.
AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems
Yu Shang, Peijie Liu, Yuwei Yan et al.
Agents Robust to Distribution Shifts Learn Causal World Models Even Under Mediation
Matteo Ceriscioli, Karthika Mohan
AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks
Fali Wang, Hui Liu, Zhenwei Dai et al.
A Geometrical Analysis of Kernel Ridge Regression and its Applications
Georgios Gavrilopoulos, Guillaume Lecué, Zong Shang
A Geometric Analysis of PCA
Ayoub El Hanchi, Murat Erdogdu, Chris Maddison
A geometric framework for momentum-based optimizers for low-rank training
Steffen Schotthöfer, Timon Klein, Jonas Kusch
A Geometry-Aware Metric for Mode Collapse in Time Series Generative Models
Yassine ABBAHADDOU, Amine Aboussalah
Aggregation Hides Out-of-Distribution Generalization Failures from Spurious Correlations
Olawale Salaudeen, Haoran Zhang, Kumail Alhamoud et al.
AGI-Elo: How Far Are We From Mastering A Task?
Shuo Sun, Yimin Zhao, Christina Lee et al.
AgMMU: A Comprehensive Agricultural Multimodal Understanding Benchmark
Aruna Gauba, Irene Pi, Yunze Man et al.
Agnostic Active Learning Is Always Better Than Passive Learning
Steve Hanneke
Agnostic Continuous-Time Online Learning
Pramith Devulapalli, Changlong Wu, Ananth Grama et al.
Agnostic Learning under Targeted Poisoning: Optimal Rates and the Role of Randomness
Bogdan Chornomaz, Yonatan Koren, Shay Moran et al.
A Gradient Guidance Perspective on Stepwise Preference Optimization for Diffusion Models
Joshua Tian Jin Tee, Hee Suk Yoon, Abu Hanif Muhammad Syarubany et al.
A Gradient Guided Diffusion Framework for Chance Constrained Programming
Boyang Zhang, Zhiguo Wang, Ya-Feng Liu
AHa-Bench: Benchmarking Audio Hallucinations in Large Audio-Language Models
Xize Cheng, Dongjie Fu, Chenyuhao Wen et al.
Aha! - Predicting What Matters Next: Online Highlight Detection Without Looking Ahead
Aiden Chang, Celso de Melo, Stephanie Lukin
A Hierarchy of Graphical Models for Counterfactual Inferences
Hongshuo Yang, Elias Bareinboim
A High-Dimensional Statistical Method for Optimizing Transfer Quantities in Multi-Source Transfer Learning
Qingyue Zhang, Haohao Fu, Guanbo Huang et al.
AI Debate Aids Assessment of Controversial Claims
Salman Rahman, Sheriff Issaka, Ashima Suvarna et al.
AiDE-Q: Synthetic Labeled Datasets Can Enhance Learning Models for Quantum Property Estimation
Xinbiao Wang, Yuxuan Du, Zihan Lou et al.
AI-Generated Video Detection via Perceptual Straightening
Christian Internò, Robert Geirhos, Markus Olhofer et al.
A Implies B: Circuit Analysis in LLMs for Propositional Logical Reasoning
Guan Zhe Hong, Nishanth Dikkala, Enming Luo et al.
AION-1: Omnimodal Foundation Model for Astronomical Sciences
Liam Parker, Francois Lanusse, Jeff Shen et al.
AI Progress Should Be Measured by Capability-Per-Resource, Not Scale Alone: A Framework for Gradient-Guided Resource Allocation in LLMs
David McCoy, Yulun Wu, Zachary Butzin-Dozier
AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench
Edan Toledo, Karen Hambardzumyan, Martin Josifoski et al.
AI-Researcher: Autonomous Scientific Innovation
Jiabin Tang, Lianghao Xia, Zhonghang Li et al.
A is for Absorption: Studying Feature Splitting and Absorption in Sparse Autoencoders
David Chanin, James Wilken-Smith, Tomáš Dulka et al.
AI Testing Should Account for Sophisticated Strategic Behaviour
Vojta Kovarik, Eric Chen, Sami Petersen et al.