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Federated Multi-Target Domain Adaptation

Federated Multi-Target Domain Adaptation

17 August 2021
Chun-Han Yao
Boqing Gong
Huayu Chen
Qi
Yukun Zhu
Ming-Hsuan Yang
    OOD
    FedML
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Papers citing "Federated Multi-Target Domain Adaptation"

36 / 36 papers shown
Title
FedAlign: Federated Domain Generalization with Cross-Client Feature Alignment
Sunny Gupta
Vinay Sutar
Varunav Singh
Amit Sethi
78
0
0
28 Jan 2025
Federated Semi-Supervised Learning with Inter-Client Consistency &
  Disjoint Learning
Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning
Wonyong Jeong
Jaehong Yoon
Eunho Yang
Sung Ju Hwang
FedML
47
220
0
22 Jun 2020
Federated Visual Classification with Real-World Data Distribution
Federated Visual Classification with Real-World Data Distribution
T. Hsu
Qi
Matthew Brown
FedML
112
199
0
18 Mar 2020
Salvaging Federated Learning by Local Adaptation
Salvaging Federated Learning by Local Adaptation
Tao Yu
Eugene Bagdasaryan
Vitaly Shmatikov
FedML
41
262
0
12 Feb 2020
Federated Adversarial Domain Adaptation
Federated Adversarial Domain Adaptation
Xingchao Peng
Zijun Huang
Yizhe Zhu
Kate Saenko
FedML
48
269
0
05 Nov 2019
Measuring the Effects of Non-Identical Data Distribution for Federated
  Visual Classification
Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification
T. Hsu
Qi
Matthew Brown
FedML
108
1,128
0
13 Sep 2019
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
318
793
0
26 Aug 2019
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation
Chen-Yu Lee
Tanmay Batra
M. H. Baig
Daniel Ulbricht
102
540
0
10 Mar 2019
Contrastive Adaptation Network for Unsupervised Domain Adaptation
Contrastive Adaptation Network for Unsupervised Domain Adaptation
Guoliang Kang
Lu Jiang
Yi Yang
Alexander G. Hauptmann
98
832
0
04 Jan 2019
Secure Federated Transfer Learning
Secure Federated Transfer Learning
Yang Liu
Yan Kang
Chaoping Xing
Tianjian Chen
Qiang Yang
FedML
44
119
0
08 Dec 2018
Moment Matching for Multi-Source Domain Adaptation
Moment Matching for Multi-Source Domain Adaptation
Xingchao Peng
Qinxun Bai
Xide Xia
Zijun Huang
Kate Saenko
Bo Wang
OOD
109
1,769
0
04 Dec 2018
A Unified Feature Disentangler for Multi-Domain Image Translation and
  Manipulation
A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation
Alexander H. Liu
Yen-Cheng Liu
Yu-Ying Yeh
Y. Wang
58
215
0
05 Sep 2018
Multi-target Unsupervised Domain Adaptation without Exactly Shared
  Categories
Multi-target Unsupervised Domain Adaptation without Exactly Shared Categories
Huanhuan Yu
Menglei Hu
Songcan Chen
35
38
0
04 Sep 2018
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Feng Yu
Haofeng Chen
Xin Wang
Wenqi Xian
Yingying Chen
Fangchen Liu
Vashisht Madhavan
Trevor Darrell
VLM
136
2,112
0
12 May 2018
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised
  Domain Adaptation
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation
B. Damodaran
B. Kellenberger
Rémi Flamary
D. Tuia
Nicolas Courty
OT
OOD
54
464
0
27 Mar 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
148
19,124
0
13 Jan 2018
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
Kuniaki Saito
Kohei Watanabe
Yoshitaka Ushiku
Tatsuya Harada
77
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
127
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
243
9,687
0
25 Oct 2017
Rethinking Atrous Convolution for Semantic Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
168
8,425
0
17 Jun 2017
Federated Multi-Task Learning
Federated Multi-Task Learning
Virginia Smith
Chao-Kai Chiang
Maziar Sanjabi
Ameet Talwalkar
FedML
90
1,791
0
30 May 2017
No More Discrimination: Cross City Adaptation of Road Scene Segmenters
No More Discrimination: Cross City Adaptation of Road Scene Segmenters
Yi-Hsin Chen
Wei-Yu Chen
Yu-Ting Chen
Bo-Cheng Tsai
Y. Wang
Min Sun
SSeg
123
341
0
27 Apr 2017
DualGAN: Unsupervised Dual Learning for Image-to-Image Translation
DualGAN: Unsupervised Dual Learning for Image-to-Image Translation
Zili Yi
Hao Zhang
P. Tan
Minglun Gong
GAN
VLM
100
1,940
0
08 Apr 2017
Learning to Discover Cross-Domain Relations with Generative Adversarial
  Networks
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks
Taeksoo Kim
Moonsu Cha
Hyunsoo Kim
Jung Kwon Lee
Jiwon Kim
GAN
OOD
77
1,979
0
15 Mar 2017
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain Adaptation
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GAN
OOD
205
4,646
0
17 Feb 2017
Playing for Data: Ground Truth from Computer Games
Playing for Data: Ground Truth from Computer Games
Stephan R. Richter
Vibhav Vineet
Stefan Roth
V. Koltun
VLM
103
2,002
0
07 Aug 2016
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Baochen Sun
Kate Saenko
OOD
79
3,123
0
06 Jul 2016
Coupled Generative Adversarial Networks
Coupled Generative Adversarial Networks
Ming-Yuan Liu
Oncel Tuzel
OOD
GAN
69
1,626
0
24 Jun 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNN
AI4CE
338
18,300
0
27 May 2016
Deep Transfer Learning with Joint Adaptation Networks
Deep Transfer Learning with Joint Adaptation Networks
Mingsheng Long
Hanhua Zhu
Jianmin Wang
Michael I. Jordan
TTA
76
2,451
0
21 May 2016
Beyond Sharing Weights for Deep Domain Adaptation
Beyond Sharing Weights for Deep Domain Adaptation
Artem Rozantsev
Mathieu Salzmann
Pascal Fua
34
442
0
21 Mar 2016
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
234
17,328
0
17 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.4K
192,638
0
10 Dec 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
151
2,588
0
10 Dec 2014
Unsupervised Domain Adaptation by Backpropagation
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
218
5,990
0
26 Sep 2014
Domain Adaptive Neural Networks for Object Recognition
Domain Adaptive Neural Networks for Object Recognition
Muhammad Ghifary
W. Kleijn
Mengjie Zhang
OOD
80
417
0
21 Sep 2014
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