Papers
Understanding Interlocking Dynamics of Cooperative Rationalization
Mo Yu, Yang Zhang, Shiyu Chang et al.
Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning
Kento Nozawa, Issei Sato
Understanding Partial Multi-Label Learning via Mutual Information
Xiuwen Gong, Dong Yuan, Wei Bao
Understanding the Effect of Stochasticity in Policy Optimization
Jincheng Mei, Bo Dai, Chenjun Xiao et al.
Understanding the Generalization Benefit of Model Invariance from a Data Perspective
Sicheng Zhu, Bang An, Furong Huang
Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning
Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen et al.
Understanding the Under-Coverage Bias in Uncertainty Estimation
Yu Bai, Song Mei, Huan Wang et al.
Unfolding Taylor's Approximations for Image Restoration
man zhou, Xueyang Fu, Zeyu Xiao et al.
UniDoc: Unified Pretraining Framework for Document Understanding
Jiuxiang Gu, Jason Kuen, Vlad I Morariu et al.
Uniform Concentration Bounds toward a Unified Framework for Robust Clustering
Debolina Paul, Saptarshi Chakraborty, Swagatam Das et al.
Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds and Benign Overfitting
Frederic Koehler, Lijia Zhou, Danica J. Sutherland et al.
Uniform-PAC Bounds for Reinforcement Learning with Linear Function Approximation
Jiafan He, Dongruo Zhou, Quanquan Gu
Uniform Sampling over Episode Difficulty
Sébastien Arnold, Guneet Dhillon, Avinash Ravichandran et al.
Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation
Yunhao Tang, Tadashi Kozuno, Mark Rowland et al.
Unifying lower bounds on prediction dimension of convex surrogates
Jessica Finocchiaro, Rafael M. Frongillo, Bo Waggoner
Unifying Width-Reduced Methods for Quasi-Self-Concordant Optimization
Deeksha Adil, Brian Bullins, Sushant Sachdeva
Unintended Selection: Persistent Qualification Rate Disparities and Interventions
Reilly Raab, Yang Liu
Unique sparse decomposition of low rank matrices
Dian Jin, Xin Bing, Yuqian Zhang
Universal Approximation Using Well-Conditioned Normalizing Flows
Holden Lee, Chirag Pabbaraju, Anish Prasad Sevekari et al.
Universal Graph Convolutional Networks
Di Jin, Zhizhi Yu, Cuiying Huo et al.
Universal Off-Policy Evaluation
Yash Chandak, Scott Niekum, Bruno da Silva et al.
Universal Rate-Distortion-Perception Representations for Lossy Compression
George Zhang, Jingjing Qian, Jun Chen et al.
Universal Semi-Supervised Learning
Zhuo Huang, Chao Xue, Bo Han et al.
Unlabeled Principal Component Analysis
Yunzhen Yao, Liangzu Peng, Manolis Tsakiris
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning
Yifan Zhang, Bryan Hooi, Dapeng Hu et al.