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Joint Distribution Optimal Transportation for Domain Adaptation

Joint Distribution Optimal Transportation for Domain Adaptation

24 May 2017
Nicolas Courty
Rémi Flamary
Amaury Habrard
A. Rakotomamonjy
    OT
    OOD
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Papers citing "Joint Distribution Optimal Transportation for Domain Adaptation"

44 / 94 papers shown
Title
Deep face recognition with clustering based domain adaptation
Deep face recognition with clustering based domain adaptation
Mei Wang
Weihong Deng
OOD
3DH
CVBM
37
49
0
27 May 2022
OTAdapt: Optimal Transport-based Approach For Unsupervised Domain
  Adaptation
OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation
Thanh-Dat Truong
N. V. R. Chappa
Xuan-Bac Nguyen
Ngan Le
Ashley Dowling
Khoa Luu
OOD
OT
34
11
0
22 May 2022
Improving Transferability for Domain Adaptive Detection Transformers
Improving Transferability for Domain Adaptive Detection Transformers
Kaixiong Gong
Shuang Li
Shugang Li
Rui Zhang
Chi Harold Liu
Qiang Chen
46
34
0
29 Apr 2022
Revisiting Sliced Wasserstein on Images: From Vectorization to
  Convolution
Revisiting Sliced Wasserstein on Images: From Vectorization to Convolution
Khai Nguyen
Nhat Ho
14
25
0
04 Apr 2022
Semantic-guided Disentangled Representation for Unsupervised
  Cross-modality Medical Image Segmentation
Semantic-guided Disentangled Representation for Unsupervised Cross-modality Medical Image Segmentation
Shuailong Wang
Rui Li
13
1
0
26 Mar 2022
Bures Joint Distribution Alignment with Dynamic Margin for Unsupervised
  Domain Adaptation
Bures Joint Distribution Alignment with Dynamic Margin for Unsupervised Domain Adaptation
Yong-Jin Liu
Chuan-Xian Ren
Xiao-Lin Xu
Ke-Kun Huang
OOD
17
2
0
14 Mar 2022
Connecting sufficient conditions for domain adaptation: source-guided
  uncertainty, relaxed divergences and discrepancy localization
Connecting sufficient conditions for domain adaptation: source-guided uncertainty, relaxed divergences and discrepancy localization
Sofien Dhouib
S. Maghsudi
26
2
0
09 Mar 2022
Improving Molecular Representation Learning with Metric
  Learning-enhanced Optimal Transport
Improving Molecular Representation Learning with Metric Learning-enhanced Optimal Transport
Fang Wu
Nicolas Courty
Shuting Jin
Stan Z. Li
OOD
OT
13
8
0
13 Feb 2022
Transferability in Deep Learning: A Survey
Transferability in Deep Learning: A Survey
Junguang Jiang
Yang Shu
Jianmin Wang
Mingsheng Long
OOD
28
101
0
15 Jan 2022
Deep Optimal Transport for Domain Adaptation on SPD Manifolds
Deep Optimal Transport for Domain Adaptation on SPD Manifolds
Ce Ju
Cuntai Guan
42
3
0
15 Jan 2022
Near-optimal estimation of smooth transport maps with kernel
  sums-of-squares
Near-optimal estimation of smooth transport maps with kernel sums-of-squares
Boris Muzellec
A. Vacher
Francis R. Bach
Franccois-Xavier Vialard
Alessandro Rudi
OT
26
20
0
03 Dec 2021
Mapping conditional distributions for domain adaptation under
  generalized target shift
Mapping conditional distributions for domain adaptation under generalized target shift
Matthieu Kirchmeyer
A. Rakotomamonjy
Emmanuel de Bézenac
Patrick Gallinari
OOD
8
22
0
26 Oct 2021
A Prototype-Oriented Framework for Unsupervised Domain Adaptation
A Prototype-Oriented Framework for Unsupervised Domain Adaptation
Korawat Tanwisuth
Xinjie Fan
Huangjie Zheng
Shujian Zhang
A. Leon-Garcia
Bo Chen
Mingyuan Zhou
44
102
0
22 Oct 2021
Label Propagation Through Optimal Transport
Label Propagation Through Optimal Transport
Mourad El Hamri
Younès Bennani
Issam Falih
OT
24
4
0
01 Oct 2021
Sinkhorn Distributionally Robust Optimization
Sinkhorn Distributionally Robust Optimization
Jie Wang
Rui Gao
Yao Xie
29
35
0
24 Sep 2021
CDCGen: Cross-Domain Conditional Generation via Normalizing Flows and
  Adversarial Training
CDCGen: Cross-Domain Conditional Generation via Normalizing Flows and Adversarial Training
Hari Prasanna Das
Ryan Tran
Japjot Singh
Yu-Wen Lin
C. Spanos
OOD
16
11
0
25 Aug 2021
Conditional Bures Metric for Domain Adaptation
Conditional Bures Metric for Domain Adaptation
You-Wei Luo
Chuan-Xian Ren
13
49
0
31 Jul 2021
f-Domain-Adversarial Learning: Theory and Algorithms
f-Domain-Adversarial Learning: Theory and Algorithms
David Acuna
Guojun Zhang
M. Law
Sanja Fidler
FedML
AI4CE
11
60
0
21 Jun 2021
A Survey on Optimal Transport for Machine Learning: Theory and
  Applications
A Survey on Optimal Transport for Machine Learning: Theory and Applications
Luis Caicedo Torres
Luiz Manella Pereira
M. Amini
OOD
OT
21
47
0
03 Jun 2021
Information-theoretic regularization for Multi-source Domain Adaptation
Information-theoretic regularization for Multi-source Domain Adaptation
Geon Yeong Park
Sang Wan Lee
TTA
19
25
0
04 Apr 2021
Geometry-Aware Unsupervised Domain Adaptation for Stereo Matching
Geometry-Aware Unsupervised Domain Adaptation for Stereo Matching
Hiroki Sakuma
Yoshinori Konishi
11
2
0
26 Mar 2021
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
16
146
0
05 Mar 2021
Entropy Partial Transport with Tree Metrics: Theory and Practice
Entropy Partial Transport with Tree Metrics: Theory and Practice
Tam Le
Truyen V. Nguyen
OT
22
15
0
24 Jan 2021
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
8
17
0
24 Dec 2020
CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain
  Adaptation
CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation
Jiahua Dong
Yang Cong
Gan Sun
Yuyang Liu
Xiaowei Xu
25
42
0
24 Aug 2020
Domain Adaptation with Conditional Distribution Matching and Generalized
  Label Shift
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift
Rémi Tachet des Combes
Han Zhao
Yu-Xiang Wang
Geoffrey J. Gordon
OOD
AAML
VLM
8
183
0
10 Mar 2020
Few-shot Domain Adaptation by Causal Mechanism Transfer
Few-shot Domain Adaptation by Causal Mechanism Transfer
Takeshi Teshima
Issei Sato
Masashi Sugiyama
OOD
CML
TTA
33
86
0
10 Feb 2020
Discriminative Adversarial Domain Adaptation
Discriminative Adversarial Domain Adaptation
Hui Tang
K. Jia
OOD
11
194
0
27 Nov 2019
The Role of Embedding Complexity in Domain-invariant Representations
The Role of Embedding Complexity in Domain-invariant Representations
Ching-Yao Chuang
Antonio Torralba
Stefanie Jegelka
14
1
0
13 Oct 2019
Wasserstein-2 Generative Networks
Wasserstein-2 Generative Networks
Alexander Korotin
Vage Egiazarian
Arip Asadulaev
Alexander Safin
E. Burnaev
GAN
120
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
14
6
0
29 Jul 2019
Solving graph compression via optimal transport
Solving graph compression via optimal transport
Vikas K. Garg
Tommi Jaakkola
OT
16
16
0
29 May 2019
Minimax estimation of smooth optimal transport maps
Minimax estimation of smooth optimal transport maps
Jan-Christian Hütter
Philippe Rigollet
OT
19
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
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation
Chen-Yu Lee
Tanmay Batra
M. H. Baig
Daniel Ulbricht
22
537
0
10 Mar 2019
2-Wasserstein Approximation via Restricted Convex Potentials with
  Application to Improved Training for GANs
2-Wasserstein Approximation via Restricted Convex Potentials with Application to Improved Training for GANs
Amirhossein Taghvaei
Amin Jalali
17
42
0
19 Feb 2019
Domain Discrepancy Measure for Complex Models in Unsupervised Domain
  Adaptation
Domain Discrepancy Measure for Complex Models in Unsupervised Domain Adaptation
Jongyeong Lee
Nontawat Charoenphakdee
Seiichi Kuroki
Masashi Sugiyama
6
11
0
30 Jan 2019
On Learning Invariant Representation for Domain Adaptation
On Learning Invariant Representation for Domain Adaptation
H. Zhao
Rémi Tachet des Combes
Kun Zhang
Geoffrey J. Gordon
OOD
19
157
0
27 Jan 2019
A review of domain adaptation without target labels
A review of domain adaptation without target labels
Wouter M. Kouw
Marco Loog
OOD
VLM
11
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
10
39
0
02 Oct 2018
Towards Optimal Transport with Global Invariances
Towards Optimal Transport with Global Invariances
David Alvarez-Melis
Stefanie Jegelka
Tommi Jaakkola
OT
18
71
0
25 Jun 2018
Causal Generative Domain Adaptation Networks
Causal Generative Domain Adaptation Networks
Mingming Gong
Kun Zhang
Biwei Huang
Clark Glymour
Dacheng Tao
Kayhan Batmanghelich
CML
OOD
TTA
27
21
0
12 Apr 2018
Large-Scale Optimal Transport and Mapping Estimation
Large-Scale Optimal Transport and Mapping Estimation
Vivien Seguy
B. Damodaran
Rémi Flamary
Nicolas Courty
Antoine Rolet
Mathieu Blondel
OT
28
243
0
07 Nov 2017
Domain Adaptation: Learning Bounds and Algorithms
Domain Adaptation: Learning Bounds and Algorithms
Yishay Mansour
M. Mohri
Afshin Rostamizadeh
179
789
0
19 Feb 2009
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