Papers
Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond
Haoxiang Wang, Bo Li, Han Zhao
Understanding Instance-Level Impact of Fairness Constraints
Jialu Wang, Xin Eric Wang, Yang Liu
Understanding Policy Gradient Algorithms: A Sensitivity-Based Approach
Shuang Wu, Ling Shi, Jun Wang et al.
Understanding Robust Generalization in Learning Regular Languages
Soham Dan, Osbert Bastani, Dan Roth
Understanding Robust Overfitting of Adversarial Training and Beyond
Chaojian Yu, Bo Han, Li Shen et al.
Understanding The Robustness in Vision Transformers
Daquan Zhou, Zhiding Yu, Enze Xie et al.
Understanding the unstable convergence of gradient descent
Kwangjun Ahn, Jingzhao Zhang, Suvrit Sra
Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces
Yinshuang Xu, Jiahui Lei, Edgar Dobriban et al.
Unified Scaling Laws for Routed Language Models
Aidan Clark, Diego De Las Casas, Aurelia Guy et al.
UniRank: Unimodal Bandit Algorithms for Online Ranking
Camille-Sovanneary Gauthier, Romaric Gaudel, Elisa Fromont
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction
Aaron Chan, Maziar Sanjabi, Lambert Mathias et al.
Universal and data-adaptive algorithms for model selection in linear contextual bandits
Vidya K Muthukumar, Akshay Krishnamurthy
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models
Beren Millidge, Tommaso Salvatori, Yuhang Song et al.
Universality of Winning Tickets: A Renormalization Group Perspective
William T Redman, Tianlong Chen, Zhangyang Wang et al.
Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows
Michael Puthawala, Matti Lassas, Ivan Dokmanic et al.
Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers
Arda Sahiner, Tolga Ergen, Batu Ozturkler et al.
Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology
Valentin Hofmann, Janet Pierrehumbert, Hinrich Schütze
Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration
Jing Lin, Xiaowan Hu, Yuanhao Cai et al.
Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors
Geert-Jan Huizing, Laura Cantini, Gabriel Peyré
Unsupervised Image Representation Learning with Deep Latent Particles
Tal Daniel, Aviv Tamar
Utility Theory for Sequential Decision Making
Mehran Shakerinava, Siamak Ravanbakhsh
Utilizing Expert Features for Contrastive Learning of Time-Series Representations
Manuel T Nonnenmacher, Lukas Oldenburg, Ingo Steinwart et al.
Validating Causal Inference Methods
Harsh Parikh, Carlos Varjao, Louise Xu et al.
Value Function based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems
Lucy L Gao, Jane Ye, Haian Yin et al.