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DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised
  Domain Adaptation

DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation

27 March 2018
B. Damodaran
B. Kellenberger
Rémi Flamary
D. Tuia
Nicolas Courty
    OT
    OOD
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Papers citing "DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation"

19 / 69 papers shown
Title
Unbalanced minibatch Optimal Transport; applications to Domain
  Adaptation
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation
Kilian Fatras
Thibault Séjourné
Nicolas Courty
Rémi Flamary
OT
32
146
0
05 Mar 2021
A Unified Joint Maximum Mean Discrepancy for Domain Adaptation
A Unified Joint Maximum Mean Discrepancy for Domain Adaptation
Wei Wang
Baopu Li
Shuhui Yang
Jing Sun
Zhengming Ding
Junyang Chen
Xiao Dong
Zhihui Wang
Haojie Li
28
11
0
25 Jan 2021
Minibatch optimal transport distances; analysis and applications
Minibatch optimal transport distances; analysis and applications
Kilian Fatras
Younes Zine
Szymon Majewski
Rémi Flamary
Rémi Gribonval
Nicolas Courty
OT
66
53
0
05 Jan 2021
Deep Visual Domain Adaptation
Deep Visual Domain Adaptation
G. Csurka
OOD
138
185
0
28 Dec 2020
Unsupervised neural adaptation model based on optimal transport for
  spoken language identification
Unsupervised neural adaptation model based on optimal transport for spoken language identification
Xugang Lu
Peng Shen
Yu Tsao
Hisashi Kawai
22
17
0
24 Dec 2020
Unsupervised Neural Domain Adaptation for Document Image Binarization
Unsupervised Neural Domain Adaptation for Document Image Binarization
Francisco J. Castellanos
Antonio Javier Gallego
Jorge Calvo-Zaragoza
OOD
19
21
0
02 Dec 2020
Do We Really Need to Access the Source Data? Source Hypothesis Transfer
  for Unsupervised Domain Adaptation
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
Jian Liang
Dapeng Hu
Jiashi Feng
17
1,207
0
20 Feb 2020
Contradictory Structure Learning for Semi-supervised Domain Adaptation
Contradictory Structure Learning for Semi-supervised Domain Adaptation
Can Qin
Lichen Wang
Qianqian Ma
Yu Yin
Huan Wang
Y. Fu
107
21
0
06 Feb 2020
Incremental Unsupervised Domain-Adversarial Training of Neural Networks
Incremental Unsupervised Domain-Adversarial Training of Neural Networks
Antonio Javier Gallego
Jorge Calvo-Zaragoza
Robert B. Fisher
CLL
OOD
11
34
0
13 Jan 2020
Wasserstein-2 Generative Networks
Wasserstein-2 Generative Networks
Alexander Korotin
Vage Egiazarian
Arip Asadulaev
Alexander Safin
E. Burnaev
GAN
128
100
0
28 Sep 2019
Hidden Covariate Shift: A Minimal Assumption For Domain Adaptation
Hidden Covariate Shift: A Minimal Assumption For Domain Adaptation
Victor Bouvier
P. Very
C´eline Hudelot
C. Chastagnol
16
6
0
29 Jul 2019
Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation
  Using Class-Conditioned Distribution Alignment
Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation Using Class-Conditioned Distribution Alignment
Alex Gabourie
Mohammad Rostami
Phillip E. Pope
Soheil Kolouri
Kyungnam Kim
OOD
13
22
0
04 Jul 2019
Joint Semantic Domain Alignment and Target Classifier Learning for
  Unsupervised Domain Adaptation
Joint Semantic Domain Alignment and Target Classifier Learning for Unsupervised Domain Adaptation
Dongdong Chen
Yisen Wang
Jinfeng Yi
Zaiyi Chen
Zhi-Hua Zhou
27
4
0
10 Jun 2019
Minimax estimation of smooth optimal transport maps
Minimax estimation of smooth optimal transport maps
Jan-Christian Hütter
Philippe Rigollet
OT
23
28
0
14 May 2019
On Scalable and Efficient Computation of Large Scale Optimal Transport
On Scalable and Efficient Computation of Large Scale Optimal Transport
Yujia Xie
Minshuo Chen
Haoming Jiang
T. Zhao
H. Zha
OT
11
42
0
01 May 2019
Wasserstein Adversarial Regularization (WAR) on label noise
Wasserstein Adversarial Regularization (WAR) on label noise
Kilian Fatras
B. Bushan
Sylvain Lobry
Rémi Flamary
D. Tuia
Nicolas Courty
11
24
0
08 Apr 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
27
537
0
10 Mar 2019
A review of domain adaptation without target labels
A review of domain adaptation without target labels
Wouter M. Kouw
Marco Loog
OOD
VLM
13
477
0
16 Jan 2019
An Entropic Optimal Transport Loss for Learning Deep Neural Networks
  under Label Noise in Remote Sensing Images
An Entropic Optimal Transport Loss for Learning Deep Neural Networks under Label Noise in Remote Sensing Images
B. Damodaran
Rémi Flamary
Vivien Seguy
Nicolas Courty
NoLa
23
39
0
02 Oct 2018
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