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Joint Distribution Optimal Transportation for Domain Adaptation
v1v2 (latest)

Joint Distribution Optimal Transportation for Domain Adaptation

24 May 2017
Nicolas Courty
Rémi Flamary
Amaury Habrard
A. Rakotomamonjy
    OTOOD
ArXiv (abs)PDFHTML

Papers citing "Joint Distribution Optimal Transportation for Domain Adaptation"

50 / 302 papers shown
Moment-Based Domain Adaptation: Learning Bounds and Algorithms
Moment-Based Domain Adaptation: Learning Bounds and Algorithms
Werner Zellinger
OOD
140
6
0
22 Apr 2020
Representation Bayesian Risk Decompositions and Multi-Source Domain
  Adaptation
Representation Bayesian Risk Decompositions and Multi-Source Domain Adaptation
Xi Wu
Yang Guo
Jiefeng Chen
Yingyu Liang
S. Jha
P. Chalasani
OODUQCV
227
7
0
22 Apr 2020
Large-Scale Optimal Transport via Adversarial Training with
  Cycle-Consistency
Large-Scale Optimal Transport via Adversarial Training with Cycle-Consistency
Guansong Lu
Zhiming Zhou
Jian Shen
Cheng Chen
Weinan Zhang
Yong Yu
OT
130
14
0
14 Mar 2020
Domain Adaptation with Conditional Distribution Matching and Generalized
  Label Shift
Domain Adaptation with Conditional Distribution Matching and Generalized Label ShiftNeural Information Processing Systems (NeurIPS), 2020
Rémi Tachet des Combes
Han Zhao
Yu Wang
Geoffrey J. Gordon
OODAAMLVLM
311
209
0
10 Mar 2020
Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and
  Practice
Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and PracticeIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Yabin Zhang
Bin Deng
Hui Tang
Lei Zhang
Kui Jia
AI4CE
176
83
0
20 Feb 2020
Few-shot Domain Adaptation by Causal Mechanism Transfer
Few-shot Domain Adaptation by Causal Mechanism TransferInternational Conference on Machine Learning (ICML), 2020
Takeshi Teshima
Issei Sato
Masashi Sugiyama
OODCMLTTA
240
96
0
10 Feb 2020
Domain Adaptation as a Problem of Inference on Graphical Models
Domain Adaptation as a Problem of Inference on Graphical ModelsNeural Information Processing Systems (NeurIPS), 2020
Kun Zhang
Biwei Huang
P. Stojanov
Erdun Gao
Qingsong Liu
Clark Glymour
OOD
415
70
0
09 Feb 2020
Statistical Optimal Transport posed as Learning Kernel Embedding
Statistical Optimal Transport posed as Learning Kernel EmbeddingNeural Information Processing Systems (NeurIPS), 2020
SakethaNath Jagarlapudi
Pratik Jawanpuria
OT
298
17
0
08 Feb 2020
Geometric Dataset Distances via Optimal Transport
Geometric Dataset Distances via Optimal TransportNeural Information Processing Systems (NeurIPS), 2020
David Alvarez-Melis
Nicolò Fusi
OT
258
234
0
07 Feb 2020
A Primer on Domain Adaptation
A Primer on Domain Adaptation
Pirmin Lemberger
Ivan Panico
OOD
172
17
0
27 Jan 2020
Discriminative Adversarial Domain Adaptation
Discriminative Adversarial Domain AdaptationAAAI Conference on Artificial Intelligence (AAAI), 2019
Hui Tang
Kui Jia
OOD
222
218
0
27 Nov 2019
Deep Active Learning: Unified and Principled Method for Query and
  Training
Deep Active Learning: Unified and Principled Method for Query and TrainingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Changjian Shui
Fan Zhou
Christian Gagné
Boyu Wang
FedML
264
168
0
20 Nov 2019
PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud
  Representation
PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud RepresentationNeural Information Processing Systems (NeurIPS), 2019
Can Qin
Haoxuan You
Lichen Wang
C.-C. Jay Kuo
Y. Fu
3DPC
234
220
0
07 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
91
1
0
13 Oct 2019
Wasserstein-2 Generative Networks
Wasserstein-2 Generative NetworksInternational Conference on Learning Representations (ICLR), 2019
Alexander Korotin
Vage Egiazarian
Arip Asadulaev
Alexander Safin
Evgeny Burnaev
GAN
484
124
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
103
7
0
29 Jul 2019
Multi-Purposing Domain Adaptation Discriminators for Pseudo Labeling
  Confidence
Multi-Purposing Domain Adaptation Discriminators for Pseudo Labeling Confidence
Garrett Wilson
D. Cook
124
2
0
17 Jul 2019
Hierarchical Optimal Transport for Multimodal Distribution Alignment
Hierarchical Optimal Transport for Multimodal Distribution AlignmentNeural Information Processing Systems (NeurIPS), 2019
John Lee
M. Dabagia
Eva L. Dyer
Christopher Rozell
OT
174
77
0
27 Jun 2019
Adaptation Across Extreme Variations using Unlabeled Domain Bridges
Adaptation Across Extreme Variations using Unlabeled Domain Bridges
Shuyang Dai
Kihyuk Sohn
Yi-Hsuan Tsai
Lawrence Carin
Manmohan Chandraker
190
12
0
05 Jun 2019
Interior-Point Methods Strike Back: Solving the Wasserstein Barycenter
  Problem
Interior-Point Methods Strike Back: Solving the Wasserstein Barycenter ProblemNeural Information Processing Systems (NeurIPS), 2019
Dongdong Ge
Haoyue Wang
Zikai Xiong
Yinyu Ye
177
29
0
30 May 2019
AlignFlow: Cycle Consistent Learning from Multiple Domains via
  Normalizing Flows
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing FlowsAAAI Conference on Artificial Intelligence (AAAI), 2019
Aditya Grover
Christopher Chute
Rui Shu
Zhangjie Cao
Stefano Ermon
OODDRL
182
70
0
30 May 2019
Solving graph compression via optimal transport
Solving graph compression via optimal transportNeural Information Processing Systems (NeurIPS), 2019
Vikas Garg
Tommi Jaakkola
OT
200
17
0
29 May 2019
Concentration bounds for linear Monge mapping estimation and optimal
  transport domain adaptation
Concentration bounds for linear Monge mapping estimation and optimal transport domain adaptation
Rémi Flamary
Karim Lounici
A. Ferrari
158
27
0
24 May 2019
Subspace Detours: Building Transport Plans that are Optimal on Subspace
  Projections
Subspace Detours: Building Transport Plans that are Optimal on Subspace ProjectionsNeural Information Processing Systems (NeurIPS), 2019
Boris Muzellec
Marco Cuturi
OT
323
34
0
24 May 2019
Geometric Losses for Distributional Learning
Geometric Losses for Distributional LearningInternational Conference on Machine Learning (ICML), 2019
A. Mensch
Mathieu Blondel
Gabriel Peyré
242
16
0
15 May 2019
Minimax estimation of smooth optimal transport maps
Minimax estimation of smooth optimal transport maps
Jan-Christian Hütter
Philippe Rigollet
OT
257
29
0
14 May 2019
On Scalable and Efficient Computation of Large Scale Optimal Transport
On Scalable and Efficient Computation of Large Scale Optimal TransportInternational Conference on Machine Learning (ICML), 2019
Yujia Xie
Minshuo Chen
Haoming Jiang
T. Zhao
H. Zha
OT
440
46
0
01 May 2019
Bridging Theory and Algorithm for Domain Adaptation
Bridging Theory and Algorithm for Domain Adaptation
Yuchen Zhang
Tianle Liu
Mingsheng Long
Sai Li
308
790
0
11 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
429
591
0
10 Mar 2019
Support and Invertibility in Domain-Invariant Representations
Support and Invertibility in Domain-Invariant Representations
Fredrik D. Johansson
David Sontag
Rajesh Ranganath
398
169
0
08 Mar 2019
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian
  Process Approach
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach
Minyoung Kim
Pritish Sahu
Behnam Gholami
Vladimir Pavlovic
OOD
139
48
0
23 Feb 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
235
50
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
195
11
0
30 Jan 2019
On Learning Invariant Representation for Domain Adaptation
On Learning Invariant Representation for Domain Adaptation
Haiying Zhao
Rémi Tachet des Combes
Kun Zhang
Geoffrey J. Gordon
OOD
225
160
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
OODVLM
334
548
0
16 Jan 2019
A General Approach to Domain Adaptation with Applications in Astronomy
A General Approach to Domain Adaptation with Applications in Astronomy
R. Vilalta
K. D. Gupta
Dainis Boumber
Mikhail M. Meskhi
OOD
125
12
0
20 Dec 2018
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete
  Demonstrations of Algorithmic Effectiveness in the Machine Learning and
  Artificial Intelligence Literature
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete Demonstrations of Algorithmic Effectiveness in the Machine Learning and Artificial Intelligence Literature
Franz J. Király
Bilal A. Mateen
R. Sonabend
197
10
0
18 Dec 2018
A Survey of Unsupervised Deep Domain Adaptation
A Survey of Unsupervised Deep Domain Adaptation
Garrett Wilson
D. Cook
OOD
404
928
0
06 Dec 2018
Regularized Wasserstein Means for Aligning Distributional Data
Regularized Wasserstein Means for Aligning Distributional Data
Liang Mi
Wen Zhang
Yalin Wang
OOD
176
7
0
02 Dec 2018
On Geometric Alignment in Low Doubling Dimension
On Geometric Alignment in Low Doubling DimensionAAAI Conference on Artificial Intelligence (AAAI), 2018
Hu Ding
Mingquan Ye
84
2
0
19 Nov 2018
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
168
43
0
02 Oct 2018
Unsupervised Domain Adaptation Based on Source-guided Discrepancy
Unsupervised Domain Adaptation Based on Source-guided Discrepancy
Seiichi Kuroki
Nontawat Charoenphakdee
Han Bao
Junya Honda
Issei Sato
Masashi Sugiyama
278
62
0
11 Sep 2018
Small Sample Learning in Big Data Era
Small Sample Learning in Big Data Era
Jun Shu
Zongben Xu
Deyu Meng
352
77
0
14 Aug 2018
Towards Optimal Transport with Global Invariances
Towards Optimal Transport with Global Invariances
David Alvarez-Melis
Stefanie Jegelka
Tommi Jaakkola
OT
195
78
0
25 Jun 2018
Variational Wasserstein Clustering
Variational Wasserstein Clustering
Liang Mi
Wen Zhang
X. Gu
Yalin Wang
OT
256
46
0
23 Jun 2018
Unsupervised Domain Adaptation with Adversarial Residual Transform
  Networks
Unsupervised Domain Adaptation with Adversarial Residual Transform Networks
Guanyu Cai
Yuqin Wang
Mengchu Zhou
Lianghua He
GAN
140
99
0
25 Apr 2018
Causal Generative Domain Adaptation Networks
Causal Generative Domain Adaptation Networks
Biwei Huang
Kun Zhang
Erdun Gao
Clark Glymour
Dacheng Tao
Kayhan Batmanghelich
CMLOODTTA
218
22
0
12 Apr 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
OTOOD
334
509
0
27 Mar 2018
Optimal Transport for Multi-source Domain Adaptation under Target Shift
Optimal Transport for Multi-source Domain Adaptation under Target ShiftInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2018
I. Redko
Nicolas Courty
Rémi Flamary
D. Tuia
OOD
309
159
0
13 Mar 2018
Computational Optimal Transport
Computational Optimal Transport
Gabriel Peyré
Marco Cuturi
OT
1.4K
2,428
0
01 Mar 2018
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