Information-Theoretic Analysis of Unsupervised Domain Adaptation

3 October 2022

Papers citing "Information-Theoretic Analysis of Unsupervised Domain Adaptation"

10 / 10 papers shown

Title
Enhancing Domain Adaptation through Prompt Gradient Alignment Hoang Phan Lam C. Tran Quyen Tran Trung Le 38 0 0 13 Jun 2024
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications Huayi Tang Yong Liu 24 1 0 08 Nov 2023
Tighter Information-Theoretic Generalization Bounds from Supersamples Ziqiao Wang Yongyi Mao 11 17 0 05 Feb 2023
On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications Ziqiao Wang Yongyi Mao FedML MLT 24 22 0 07 Oct 2021
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis Qi Chen Changjian Shui M. Marchand 27 43 0 29 Sep 2021
Stochastic Training is Not Necessary for Generalization Jonas Geiping Micah Goldblum Phillip E. Pope Michael Moeller Tom Goldstein 76 72 0 29 Sep 2021
Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization Stanislaw Jastrzebski Devansh Arpit Oliver Åstrand Giancarlo Kerg Huan Wang Caiming Xiong R. Socher Kyunghyun Cho Krzysztof J. Geras AI4CE 177 64 0 28 Dec 2020
Information-Theoretic Bounds on Transfer Generalization Gap Based on Jensen-Shannon Divergence Sharu Theresa Jose Osvaldo Simeone 30 15 0 13 Oct 2020
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates Jeffrey Negrea Mahdi Haghifam Gintare Karolina Dziugaite Ashish Khisti Daniel M. Roy FedML 102 146 0 06 Nov 2019
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 174 786 0 19 Feb 2009