f-Domain-Adversarial Learning: Theory and Algorithms

21 June 2021

Sanja Fidler

Papers citing "f-Domain-Adversarial Learning: Theory and Algorithms"

21 / 21 papers shown

Title
Stein Discrepancy for Unsupervised Domain Adaptation Anneke von Seeger Dongmian Zou Gilad Lerman 139 0 0 24 Feb 2025
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation Xiang Jiang Qicheng Lao Stan Matwin Mohammad Havaei 63 112 0 09 Jun 2020
Bridging Theory and Algorithm for Domain Adaptation Yuchen Zhang Tianle Liu Mingsheng Long Michael I. Jordan 78 710 0 11 Apr 2019
Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment Yifan Wu Ezra Winston Divyansh Kaushik Zachary Chase Lipton 58 127 0 05 Mar 2019
On Learning Invariant Representation for Domain Adaptation Haiying Zhao Rémi Tachet des Combes Kun Zhang Geoffrey J. Gordon OOD 63 157 0 27 Jan 2019
Algorithms and Theory for Multiple-Source Adaptation Judy Hoffman M. Mohri Ningshan Zhang OOD 57 172 0 20 May 2018
A DIRT-T Approach to Unsupervised Domain Adaptation Rui Shu Hung Bui Hirokazu Narui Stefano Ermon 72 621 0 23 Feb 2018
Spectral Normalization for Generative Adversarial Networks Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida ODL 155 4,433 0 16 Feb 2018
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation Kuniaki Saito Kohei Watanabe Yoshitaka Ushiku Tatsuya Harada 98 1,786 0 07 Dec 2017
CyCADA: Cycle-Consistent Adversarial Domain Adaptation Judy Hoffman Eric Tzeng Taesung Park Jun-Yan Zhu Phillip Isola Kate Saenko Alexei A. Efros Trevor Darrell 136 3,001 0 08 Nov 2017
Deep Hashing Network for Unsupervised Domain Adaptation Hemanth Venkateswara José Eusébio Shayok Chakraborty S. Panchanathan OOD 138 2,041 0 22 Jun 2017
Joint Distribution Optimal Transportation for Domain Adaptation Nicolas Courty Rémi Flamary Amaury Habrard A. Rakotomamonjy OT OOD 80 563 0 24 May 2017
Generate To Adapt: Aligning Domains using Generative Adversarial Networks S. Sankaranarayanan Yogesh Balaji Carlos D. Castillo Rama Chellappa GAN OOD 103 651 0 06 Apr 2017
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization Sebastian Nowozin Botond Cseke Ryota Tomioka GAN 135 1,654 0 02 Jun 2016
Deep Transfer Learning with Joint Adaptation Networks Mingsheng Long Hanhua Zhu Jianmin Wang Michael I. Jordan TTA 93 2,457 0 21 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.1K 193,426 0 10 Dec 2015
How (not) to Train your Generative Model: Scheduled Sampling, Likelihood, Adversary? Ferenc Huszár OOD DiffM GAN 73 296 0 16 Nov 2015
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 366 9,467 0 28 May 2015
Unsupervised Domain Adaptation by Backpropagation Yaroslav Ganin Victor Lempitsky OOD 231 6,019 0 26 Sep 2014
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 288 798 0 19 Feb 2009
Estimating divergence functionals and the likelihood ratio by convex risk minimization X. Nguyen Martin J. Wainwright Michael I. Jordan 210 802 0 04 Sep 2008