NEURIPS Poster Papers
4,493 papers found • Page 4 of 90
A Few Moments Please: Scalable Graphon Learning via Moment Matching
Reza Ramezanpour, Victor Manuel Tenorio Gomez, Antonio G. Marques et al.
AffordBot: 3D Fine-grained Embodied Reasoning via Multimodal Large Language Models
Xinyi Wang, Xun Yang, Yanlong Xu 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.
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
AgentAuditor: Human-level Safety and Security Evaluation for LLM Agents
Hanjun Luo, Shenyu Dai, Chiming Ni et al.
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.
AgentNet: Decentralized Evolutionary Coordination for LLM-based Multi-Agent Systems
Yingxuan Yang, Huacan Chai, Shuai Shao 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
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 Continuous-Time Online Learning
Pramith Devulapalli, Changlong Wu, Ananth Grama 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.
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 Testing Should Account for Sophisticated Strategic Behaviour
Vojta Kovarik, Eric Chen, Sami Petersen et al.
A Latent Multilayer Graphical Model For Complex, Interdependent Systems
Martin Ondrus, Ivor Cribben, Yang Feng
Alchemist: Turning Public Text-to-Image Data into Generative Gold
Valerii Startsev, Alexander Ustyuzhanin, Alexey Kirillov et al.
A Learning-Augmented Approach to Online Allocation Problems
Ilan Cohen, Debmalya Panigrahi
A Learning-Augmented Dynamic Programming Approach for Orienteering Problem with Time Windows
Guansheng Peng, Lining Xing, Fuyan Ma et al.
ALE-Bench: A Benchmark for Long-Horizon Objective-Driven Algorithm Engineering
Yuki Imajuku, Kohki Horie, Yoichi Iwata et al.
Algorithm- and Data-Dependent Generalization Bounds for Diffusion Models
Benjamin Dupuis, Dario Shariatian, Maxime Haddouche et al.
AlgoTune: Can Language Models Speed Up General-Purpose Numerical Programs?
Ori Press, Brandon Amos, Haoyu Zhao et al.
Alias-Free ViT: Fractional Shift Invariance via Linear Attention
Hagay Michaeli, Daniel Soudry
Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences
Jing-An Sun, Hang Fan, Junchao Gong et al.
AlignedGen: Aligning Style Across Generated Images
Jiexuan Zhang, Yiheng Du, Qian Wang et al.
Aligning by Misaligning: Boundary-aware Curriculum Learning for Multimodal Alignment
Hua Ye, Hang Ding, Siyuan Chen et al.
Aligning Compound AI Systems via System-level DPO
Xiangwen Wang, Yibo Jacky Zhang, Zhoujie Ding et al.
Aligning Evaluation with Clinical Priorities: Calibration, Label Shift, and Error Costs
Gerardo Flores, Alyssa H. Smith, Julia Fukuyama et al.
Aligning Text to Image in Diffusion Models is Easier Than You Think
Jaa-Yeon Lee, ByungHee Cha, Jeongsol Kim et al.
Aligning Transformers with Continuous Feedback via Energy Rank Alignment
Shriram Chennakesavalu, Frank Hu, Sebastian Ibarraran et al.
Alignment of Large Language Models with Constrained Learning
Botong Zhang, Shuo Li, Ignacio Hounie et al.
AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Document Understanding
Ahmed Masry, Juan Rodriguez, Tianyu Zhang et al.
Align Your Flow: Scaling Continuous-Time Flow Map Distillation
Amirmojtaba Sabour, Sanja Fidler, Karsten Kreis