Papers
21,849 papers found
Auditing Privacy Mechanisms via Label Inference Attacks
Róbert István Busa-Fekete, Travis Dick, Claudio Gentile et al.
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits
Jungyhun Lee, Se-Young Yun, Kwang-Sung Jun
A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks
Hoin Jung, Taeuk Jang, Xiaoqian Wang
A Unified Framework for 3D Scene Understanding
Wei Xu, Chunsheng Shi, Sifan Tu et al.
A Unified Principle of Pessimism for Offline Reinforcement Learning under Model Mismatch
Yue Wang, Zhongchang Sun, Shaofeng Zou
A Unifying Normative Framework of Decision Confidence
Amelia M. Johnson, Micheal A. Buice, Koosha Khalvati
A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems
Mohammad-Amin Charusaie, Samira Samadi
A Universal Growth Rate for Learning with Smooth Surrogate Losses
Anqi Mao, Mehryar Mohri, Yutao Zhong
Autobidder's Dilemma: Why More Sophisticated Autobidders Lead to Worse Auction Efficiency
Yuan Deng, Jieming Mao, Vahab Mirrokni et al.
Autoformalize Mathematical Statements by Symbolic Equivalence and Semantic Consistency
Zenan Li, Yifan Wu, Zhaoyu Li et al.
AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents
Yao Fu, Dong-Ki Kim, Jaekyeom Kim et al.
AutoManual: Constructing Instruction Manuals by LLM Agents via Interactive Environmental Learning
Minghao Chen, Yihang Li, Yanting Yang et al.
Automated Efficient Estimation using Monte Carlo Efficient Influence Functions
Raj Agrawal, Sam Witty, Andy Zane et al.
Automated Label Unification for Multi-Dataset Semantic Segmentation with GNNs
Rong Ma, Jie Chen, Xiangyang Xue et al.
Automated Multi-level Preference for MLLMs
Mengxi Zhang, Wenhao Wu, Yu Lu et al.
Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health Records
Suhan Cui, Prasenjit Mitra
Automatically Learning Hybrid Digital Twins of Dynamical Systems
Samuel Holt, Tennison Liu, Mihaela van der Schaar
Automatic Outlier Rectification via Optimal Transport
Jose Blanchet, Jiajin Li, Markus Pelger et al.
Automating Data Annotation under Strategic Human Agents: Risks and Potential Solutions
Tian Xie, Xueru Zhang
Automating Dataset Updates Towards Reliable and Timely Evaluation of Large Language Models
Jiahao Ying, Yixin Cao, Yushi Bai et al.
AutoMix: Automatically Mixing Language Models
Pranjal Aggarwal, Aman Madaan, Ankit Anand et al.
Autonomous Agents for Collaborative Task under Information Asymmetry
Wei Liu, Chenxi Wang, Yifei Wang et al.
Autonomous Driving with Spiking Neural Networks
Rui-Jie Zhu, Ziqing Wang, Leilani Gilpin et al.
AutoPSV: Automated Process-Supervised Verifier
Jianqiao Lu, Zhiyang Dou, Hongru Wang et al.
Autoregressive Image Diffusion: Generation of Image Sequence and Application in MRI
Guanxiong Luo, Shoujin Huang, Martin Uecker