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Learning Invariant Representation with Consistency and Diversity for Semi-supervised Source Hypothesis Transfer
7 July 2021
Xiaodong Wang
Junbao Zhuo
Shuhao Cui
Shuhui Wang
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Papers citing
"Learning Invariant Representation with Consistency and Diversity for Semi-supervised Source Hypothesis Transfer"
39 / 39 papers shown
Title
Model Adaptation: Unsupervised Domain Adaptation without Source Data
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Qianfen Jiao
Wenming Cao
Hau-San Wong
Si Wu
OOD
261
492
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26 Feb 2025
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer
Jian Liang
Dapeng Hu
Yunbo Wang
Ran He
Jiashi Feng
189
257
0
14 Dec 2020
Selective Pseudo-Labeling with Reinforcement Learning for Semi-Supervised Domain Adaptation
Bingyu Liu
Yuhong Guo
Jieping Ye
Weihong Deng
57
3
0
07 Dec 2020
Effective Label Propagation for Discriminative Semi-Supervised Domain Adaptation
Zhiyong Huang
Kekai Sheng
Weiming Dong
Xing Mei
Chongyang Ma
Feiyue Huang
D. Zhou
Changsheng Xu
115
7
0
04 Dec 2020
Heuristic Domain Adaptation
Shuhao Cui
Xuan Jin
Shuhui Wang
Yuan He
Qingming Huang
107
49
0
30 Nov 2020
Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation
Yue Liu
Yezhen Wang
Shanghang Zhang
Dongsheng Li
Trevor Darrell
Kurt Keutzer
Han Zhao
OOD
59
96
0
09 Oct 2020
Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation
Taekyung Kim
Changick Kim
82
139
0
18 Jul 2020
Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation
Da Li
Timothy M. Hospedales
72
103
0
09 Apr 2020
Universal Source-Free Domain Adaptation
Jogendra Nath Kundu
Naveen Venkat
V. RahulM.
R. Venkatesh Babu
VLM
TTA
77
343
0
09 Apr 2020
Gradually Vanishing Bridge for Adversarial Domain Adaptation
Shuhao Cui
Shuhui Wang
Junbao Zhuo
Chi Su
Qingming Huang
Q. Tian
123
246
0
30 Mar 2020
Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations
Shuhao Cui
Shuhui Wang
Junbao Zhuo
Liang Li
Qingming Huang
Q. Tian
81
367
0
27 Mar 2020
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift
Rémi Tachet des Combes
Han Zhao
Yu Wang
Geoffrey J. Gordon
OOD
AAML
VLM
76
189
0
10 Mar 2020
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
Jian Liang
Dapeng Hu
Jiashi Feng
113
1,248
0
20 Feb 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Kihyuk Sohn
David Berthelot
Chun-Liang Li
Zizhao Zhang
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
Han Zhang
Colin Raffel
AAML
160
3,572
0
21 Jan 2020
RandAugment: Practical automated data augmentation with a reduced search space
E. D. Cubuk
Barret Zoph
Jonathon Shlens
Quoc V. Le
MQ
250
3,503
0
30 Sep 2019
d
d
d
-SNE: Domain Adaptation using Stochastic Neighborhood Embedding
Xiang Xu
Xiong Zhou
Ragav Venkatesan
Gurumurthy Swaminathan
Orchid Majumder
60
120
0
29 May 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning
David Berthelot
Nicholas Carlini
Ian Goodfellow
Nicolas Papernot
Avital Oliver
Colin Raffel
151
3,033
0
06 May 2019
Semi-supervised Domain Adaptation via Minimax Entropy
Kuniaki Saito
Donghyun Kim
Stan Sclaroff
Trevor Darrell
Kate Saenko
78
622
0
13 Apr 2019
Bridging Theory and Algorithm for Domain Adaptation
Yuchen Zhang
Tianle Liu
Mingsheng Long
Michael I. Jordan
83
713
0
11 Apr 2019
Interpolation Consistency Training for Semi-Supervised Learning
Vikas Verma
Kenji Kawaguchi
Alex Lamb
Arno Solin
Arno Solin
Yoshua Bengio
David Lopez-Paz
110
771
0
09 Mar 2019
Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment
Yifan Wu
Ezra Winston
Divyansh Kaushik
Zachary Chase Lipton
58
127
0
05 Mar 2019
Moment Matching for Multi-Source Domain Adaptation
Xingchao Peng
Qinxun Bai
Xide Xia
Zijun Huang
Kate Saenko
Bo Wang
OOD
143
1,809
0
04 Dec 2018
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
Judy Hoffman
Eric Tzeng
Taesung Park
Jun-Yan Zhu
Phillip Isola
Kate Saenko
Alexei A. Efros
Trevor Darrell
147
3,002
0
08 Nov 2017
Adversarial Dropout Regularization
Kuniaki Saito
Yoshitaka Ushiku
Tatsuya Harada
Kate Saenko
GAN
72
286
0
05 Nov 2017
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
287
9,803
0
25 Oct 2017
VisDA: The Visual Domain Adaptation Challenge
Xingchao Peng
Ben Usman
Neela Kaushik
Judy Hoffman
Dequan Wang
Kate Saenko
OOD
91
806
0
18 Oct 2017
Deep Hashing Network for Unsupervised Domain Adaptation
Hemanth Venkateswara
José Eusébio
Shayok Chakraborty
S. Panchanathan
OOD
147
2,057
0
22 Jun 2017
Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation
Hongliang Yan
Yukang Ding
P. Li
Qilong Wang
Yong-mei Xu
W. Zuo
91
576
0
01 May 2017
Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning
Werner Zellinger
Thomas Grubinger
E. Lughofer
T. Natschläger
Susanne Saminger-Platz
OOD
105
577
0
28 Feb 2017
Temporal Ensembling for Semi-Supervised Learning
S. Laine
Timo Aila
UQCV
185
2,567
0
07 Oct 2016
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Baochen Sun
Kate Saenko
OOD
105
3,161
0
06 Jul 2016
Coupled Generative Adversarial Networks
Ming-Yuan Liu
Oncel Tuzel
OOD
GAN
98
1,626
0
24 Jun 2016
Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning
Mehdi S. M. Sajjadi
Mehran Javanmardi
Tolga Tasdizen
BDL
85
1,115
0
14 Jun 2016
Deep Transfer Learning with Joint Adaptation Networks
Mingsheng Long
Hanhua Zhu
Jianmin Wang
Michael I. Jordan
TTA
96
2,459
0
21 May 2016
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,322
0
10 Dec 2015
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
OOD
220
5,211
0
10 Feb 2015
Deep Domain Confusion: Maximizing for Domain Invariance
Eric Tzeng
Judy Hoffman
Ning Zhang
Kate Saenko
Trevor Darrell
OOD
172
2,605
0
10 Dec 2014
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
235
6,041
0
26 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
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0
04 Sep 2014
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