Papers
8,340 papers found
$H$-Consistency Bounds for Pairwise Misranking Loss Surrogates
Anqi Mao, Mehryar Mohri, Yutao Zhong
$\pi$-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation
Chengyue Wu, Teng Wang, Yixiao Ge et al.
2D-Shapley: A Framework for Fragmented Data Valuation
Zhihong Liu, Hoang Anh Just, Xiangyu Chang et al.
AbODE: Ab initio antibody design using conjoined ODEs
Yogesh Verma, Markus Heinonen, Vikas Garg
Abstracting Imperfect Information Away from Two-Player Zero-Sum Games
Samuel Sokota, Ryan D’Orazio, Chun Kai Ling et al.
Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization
Stone Tao, Xiaochen Li, Tongzhou Mu et al.
A/B Testing in Network Data with Covariate-Adaptive Randomization
Jialu Wang, Ping Li, Feifang Hu
ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging
Alessandro Fontanella, Antreas Antoniou, Wenwen Li et al.
A Category-theoretical Meta-analysis of Definitions of Disentanglement
Yivan Zhang, Masashi Sugiyama
Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization
Cheuk Yin Lin, Chaobing Song, Jelena Diakonikolas
Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations
Jisun Park, Ernest K. Ryu
Accelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point Problems
Mohammad Khalafi, Digvijay Boob
Accelerated Stochastic Optimization Methods under Quasar-convexity
Qiang Fu, Dongchu Xu, Ashia Camage Wilson
Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time
Toon Vanderschueren, Alicia Curth, Wouter Verbeke et al.
Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations
Weixin Liang, Yining Mao, Yongchan Kwon et al.
Achieving Hierarchy-Free Approximation for Bilevel Programs with Equilibrium Constraints
Jiayang Li, Jing Yu, Boyi Liu et al.
Achieving High Accuracy with PINNs via Energy Natural Gradient Descent
Johannes Müller, Marius Zeinhofer
Achieving Linear Speedup in Non-IID Federated Bilevel Learning
Minhui Huang, Dewei Zhang, Kaiyi Ji
A Closer Look at Few-shot Classification Again
Xu Luo, Hao Wu, Ji Zhang et al.
A Closer Look at Self-Supervised Lightweight Vision Transformers
Shaoru Wang, Jin Gao, Zeming Li et al.
A Closer Look at the Intervention Procedure of Concept Bottleneck Models
Sungbin Shin, Yohan Jo, Sungsoo Ahn et al.
A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests
Bohang Zhang, Guhao Feng, Yiheng Du et al.
A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging
Jeffrey Wen, Rizwan Ahmad, Philip Schniter
A Connection between One-Step RL and Critic Regularization in Reinforcement Learning
Benjamin Eysenbach, Matthieu Geist, Sergey Levine et al.
A Coupled Flow Approach to Imitation Learning
Gideon Joseph Freund, Elad Sarafian, Sarit Kraus