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Dual Mixup Regularized Learning for Adversarial Domain Adaptation

Dual Mixup Regularized Learning for Adversarial Domain Adaptation

7 July 2020
Yuan Wu
Diana Inkpen
Ahmed El-Roby
ArXivPDFHTML

Papers citing "Dual Mixup Regularized Learning for Adversarial Domain Adaptation"

21 / 21 papers shown
Title
LH-Mix: Local Hierarchy Correlation Guided Mixup over Hierarchical Prompt Tuning
LH-Mix: Local Hierarchy Correlation Guided Mixup over Hierarchical Prompt Tuning
Fanshuang Kong
Richong Zhang
Ziqiao Wang
135
0
0
22 Dec 2024
Unsupervised Domain Adaptation via Style-Aware Self-intermediate Domain
Unsupervised Domain Adaptation via Style-Aware Self-intermediate Domain
Lianyu Wang
Meng Wang
Daoqiang Zhang
Huazhu Fu
66
2
0
05 Sep 2022
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
187
30,069
0
01 Mar 2022
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
318
793
0
26 Aug 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning
MixMatch: A Holistic Approach to Semi-Supervised Learning
David Berthelot
Nicholas Carlini
Ian Goodfellow
Nicolas Papernot
Avital Oliver
Colin Raffel
126
3,009
0
06 May 2019
Interpolation Consistency Training for Semi-Supervised Learning
Interpolation Consistency Training for Semi-Supervised Learning
Vikas Verma
Kenji Kawaguchi
Alex Lamb
Arno Solin
Arno Solin
Yoshua Bengio
David Lopez-Paz
94
763
0
09 Mar 2019
Multi-Adversarial Domain Adaptation
Multi-Adversarial Domain Adaptation
Zhongyi Pei
Zhangjie Cao
Mingsheng Long
Jianmin Wang
OOD
TTA
51
857
0
04 Sep 2018
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
Kuniaki Saito
Kohei Watanabe
Yoshitaka Ushiku
Tatsuya Harada
80
1,781
0
07 Dec 2017
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
Judy Hoffman
Eric Tzeng
Taesung Park
Jun-Yan Zhu
Phillip Isola
Kate Saenko
Alexei A. Efros
Trevor Darrell
130
2,992
0
08 Nov 2017
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
251
9,687
0
25 Oct 2017
Generate To Adapt: Aligning Domains using Generative Adversarial
  Networks
Generate To Adapt: Aligning Domains using Generative Adversarial Networks
S. Sankaranarayanan
Yogesh Balaji
Carlos D. Castillo
Rama Chellappa
GAN
OOD
90
649
0
06 Apr 2017
Asymmetric Tri-training for Unsupervised Domain Adaptation
Asymmetric Tri-training for Unsupervised Domain Adaptation
Kuniaki Saito
Yoshitaka Ushiku
Tatsuya Harada
94
587
0
27 Feb 2017
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain Adaptation
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GAN
OOD
232
4,646
0
17 Feb 2017
Deep Transfer Learning with Joint Adaptation Networks
Deep Transfer Learning with Joint Adaptation Networks
Mingsheng Long
Hanhua Zhu
Jianmin Wang
Michael I. Jordan
TTA
79
2,451
0
21 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.5K
192,638
0
10 Dec 2015
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
347
9,418
0
28 May 2015
Learning Transferable Features with Deep Adaptation Networks
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
OOD
202
5,177
0
10 Feb 2015
Deep Domain Confusion: Maximizing for Domain Invariance
Deep Domain Confusion: Maximizing for Domain Invariance
Eric Tzeng
Judy Hoffman
Ning Zhang
Kate Saenko
Trevor Darrell
OOD
159
2,588
0
10 Dec 2014
How transferable are features in deep neural networks?
How transferable are features in deep neural networks?
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
162
8,309
0
06 Nov 2014
Unsupervised Domain Adaptation by Backpropagation
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
221
5,990
0
26 Sep 2014
A Kernel Method for the Two-Sample Problem
A Kernel Method for the Two-Sample Problem
Arthur Gretton
Karsten Borgwardt
Malte J. Rasch
Bernhard Schölkopf
Alex Smola
184
2,352
0
15 May 2008
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