ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1705.08848
  4. Cited By
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
Unsupervised domain adaptation with non-stochastic missing data
Unsupervised domain adaptation with non-stochastic missing data
Matthieu Kirchmeyer
Patrick Gallinari
A. Rakotomamonjy
Amin Mantrach
124
2
0
16 Sep 2021
Transport-based Counterfactual Models
Transport-based Counterfactual ModelsJournal of machine learning research (JMLR), 2021
Lucas de Lara
Alberto González Sanz
Nicholas M. Asher
Laurent Risser
Jean-Michel Loubes
296
36
0
30 Aug 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
170
11
0
25 Aug 2021
Learning Transferable Parameters for Unsupervised Domain Adaptation
Learning Transferable Parameters for Unsupervised Domain AdaptationIEEE Transactions on Image Processing (TIP), 2021
Zhongyi Han
Haoliang Sun
Yilong Yin
OOD
169
60
0
13 Aug 2021
On the Robustness of Domain Adaption to Adversarial Attacks
On the Robustness of Domain Adaption to Adversarial Attacks
Liyuan Zhang
Yuhang Zhou
Lei Zhang
OODAAML
107
2
0
04 Aug 2021
Conditional Bures Metric for Domain Adaptation
Conditional Bures Metric for Domain Adaptation
You-Wei Luo
Chuan-Xian Ren
202
60
0
31 Jul 2021
Scalable Optimal Transport in High Dimensions for Graph Distances,
  Embedding Alignment, and More
Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and MoreInternational Conference on Machine Learning (ICML), 2021
Johannes Klicpera
Marten Lienen
Stephan Günnemann
OT
206
14
0
14 Jul 2021
Understanding the Limits of Unsupervised Domain Adaptation via Data
  Poisoning
Understanding the Limits of Unsupervised Domain Adaptation via Data PoisoningNeural Information Processing Systems (NeurIPS), 2021
Akshay Mehra
B. Kailkhura
Pin-Yu Chen
Jihun Hamm
AAML
253
26
0
08 Jul 2021
Predicting with Confidence on Unseen Distributions
Predicting with Confidence on Unseen Distributions
Devin Guillory
Vaishaal Shankar
Sayna Ebrahimi
Trevor Darrell
Ludwig Schmidt
UQCVOOD
292
138
0
07 Jul 2021
Rates of Estimation of Optimal Transport Maps using Plug-in Estimators
  via Barycentric Projections
Rates of Estimation of Optimal Transport Maps using Plug-in Estimators via Barycentric Projections
Nabarun Deb
Promit Ghosal
B. Sen
OT
285
84
0
04 Jul 2021
f-Domain-Adversarial Learning: Theory and Algorithms
f-Domain-Adversarial Learning: Theory and AlgorithmsInternational Conference on Machine Learning (ICML), 2021
David Acuna
Guojun Zhang
M. Law
Sanja Fidler
FedMLAI4CE
202
77
0
21 Jun 2021
Stratified Learning: A General-Purpose Statistical Method for Improved
  Learning under Covariate Shift
Stratified Learning: A General-Purpose Statistical Method for Improved Learning under Covariate ShiftStatistical analysis and data mining (SADM), 2021
Maximilian Autenrieth
David van Dyk
R. Trotta
D. Stenning
OOD
131
4
0
21 Jun 2021
Cross-hospital Sepsis Early Detection via Semi-supervised Optimal
  Transport with Self-paced Ensemble
Cross-hospital Sepsis Early Detection via Semi-supervised Optimal Transport with Self-paced EnsembleIEEE journal of biomedical and health informatics (JBHI), 2021
Ruiqing Ding
Yu Zhou
Jie Xu
Yan Xie
Qiqiang Liang
He Ren
Yixuan Wang
Yanlin Chen
Leye Wang
Man Huang
OOD
164
7
0
18 Jun 2021
Costs and Benefits of Fair Regression
Costs and Benefits of Fair Regression
Han Zhao
FaML
138
10
0
16 Jun 2021
Learning Domain Invariant Representations by Joint Wasserstein Distance
  Minimization
Learning Domain Invariant Representations by Joint Wasserstein Distance MinimizationNeural Networks (NN), 2021
Léo Andéol
Yusei Kawakami
Yuichiro Wada
Takafumi Kanamori
K. Müller
G. Montavon
OOD
302
11
0
09 Jun 2021
Neural Monge Map estimation and its applications
Neural Monge Map estimation and its applications
JiaoJiao Fan
Shu Liu
Shaojun Ma
Haomin Zhou
Yongxin Chen
OT
348
32
0
07 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
OODOT
199
56
0
03 Jun 2021
Bridging Few-Shot Learning and Adaptation: New Challenges of
  Support-Query Shift
Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift
Etienne Bennequin
Victor Bouvier
Myriam Tami
Antoine Toubhans
C´eline Hudelot
285
14
0
25 May 2021
Affine Transport for Sim-to-Real Domain Adaptation
Affine Transport for Sim-to-Real Domain Adaptation
Anton Mallasto
Karol Arndt
Markus Heinonen
Samuel Kaski
Ville Kyrki
95
4
0
25 May 2021
Towards Unsupervised Sketch-based Image Retrieval
Towards Unsupervised Sketch-based Image RetrievalBritish Machine Vision Conference (BMVC), 2021
Conghui Hu
Yongxin Yang
Yunpeng Li
Timothy M. Hospedales
Yi-Zhe Song
402
6
0
18 May 2021
Iterative Alignment Flows
Iterative Alignment FlowsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Zeyu Zhou
Ziyu Gong
Pradeep Ravikumar
David I. Inouye
OTDRL
300
5
0
15 Apr 2021
Boltzmann Tuning of Generative Models
Boltzmann Tuning of Generative Models
Victor Berger
Michele Sebag
142
0
0
12 Apr 2021
Optimal Transport-based Adaptation in Dysarthric Speech Tasks
Optimal Transport-based Adaptation in Dysarthric Speech Tasks
Rosanna Turrisi
Leonardo Badino
OT
193
0
0
06 Apr 2021
Information-theoretic regularization for Multi-source Domain Adaptation
Information-theoretic regularization for Multi-source Domain AdaptationIEEE International Conference on Computer Vision (ICCV), 2021
Geon Yeong Park
Sang Wan Lee
TTA
219
34
0
04 Apr 2021
Geometry-Aware Unsupervised Domain Adaptation for Stereo Matching
Geometry-Aware Unsupervised Domain Adaptation for Stereo MatchingIEEE International Conference on Robotics and Automation (ICRA), 2021
Hiroki Sakuma
Yoshinori Konishi
251
3
0
26 Mar 2021
Regularized Optimal Transport for Dynamic Semi-supervised Learning
Regularized Optimal Transport for Dynamic Semi-supervised Learning
Mourad El Hamri
Younès Bennani
OT
113
0
0
22 Mar 2021
SPOT: A framework for selection of prototypes using optimal transport
SPOT: A framework for selection of prototypes using optimal transport
Karthik S. Gurumoorthy
Pratik Jawanpuria
Bamdev Mishra
OT
204
15
0
18 Mar 2021
Unbalanced minibatch Optimal Transport; applications to Domain
  Adaptation
Unbalanced minibatch Optimal Transport; applications to Domain AdaptationInternational Conference on Machine Learning (ICML), 2021
Kilian Fatras
Thibault Séjourné
Nicolas Courty
Rémi Flamary
OT
205
177
0
05 Mar 2021
Manifold optimization for non-linear optimal transport problems
Manifold optimization for non-linear optimal transport problems
Bamdev Mishra
N. Satyadev
Hiroyuki Kasai
Pratik Jawanpuria
OT
210
12
0
01 Mar 2021
Domain Impression: A Source Data Free Domain Adaptation Method
Domain Impression: A Source Data Free Domain Adaptation MethodIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
V. Kurmi
Venkatesh Subramanian
Vinay P. Namboodiri
TTA
318
173
0
17 Feb 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
141
14
0
25 Jan 2021
Entropy Partial Transport with Tree Metrics: Theory and Practice
Entropy Partial Transport with Tree Metrics: Theory and PracticeInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Tam Le
Truyen V. Nguyen
OT
169
17
0
24 Jan 2021
Discriminative Noise Robust Sparse Orthogonal Label Regression-based
  Domain Adaptation
Discriminative Noise Robust Sparse Orthogonal Label Regression-based Domain AdaptationInternational Journal of Computer Vision (IJCV), 2021
Lingkun Luo
Liming Chen
Shiqiang Hu
OOD
152
8
0
09 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 identificationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Xugang Lu
Peng Shen
Yu Tsao
Hisashi Kawai
127
22
0
24 Dec 2020
Aligning Hyperbolic Representations: an Optimal Transport-based approach
Aligning Hyperbolic Representations: an Optimal Transport-based approach
Andrés Hoyos-Idrobo
OT
208
10
0
02 Dec 2020
MMD-Regularized Unbalanced Optimal Transport
MMD-Regularized Unbalanced Optimal Transport
Piyushi Manupriya
SakethaNath Jagarlapudi
Pratik Jawanpuria
OT
1.1K
6
0
10 Nov 2020
Adversarial training for predictive tasks: theoretical analysis and
  limitations in the deterministic case
Adversarial training for predictive tasks: theoretical analysis and limitations in the deterministic case
T. Lesieur
J. Messud
I. Hammoud
Hanyu Peng
Céline Lacombe
P. Jeunesse
AAMLGAN
63
0
0
02 Nov 2020
Dataset Dynamics via Gradient Flows in Probability Space
Dataset Dynamics via Gradient Flows in Probability SpaceInternational Conference on Machine Learning (ICML), 2020
David Alvarez-Melis
Nicolò Fusi
207
21
0
24 Oct 2020
Efficient Robust Optimal Transport with Application to Multi-Label
  Classification
Efficient Robust Optimal Transport with Application to Multi-Label Classification
Pratik Jawanpuria
N. Satyadev
Bamdev Mishra
OT
179
6
0
22 Oct 2020
Sufficient dimension reduction for classification using principal
  optimal transport direction
Sufficient dimension reduction for classification using principal optimal transport directionNeural Information Processing Systems (NeurIPS), 2020
Cheng Meng
Jun Yu
Jingyi Zhang
Ping Ma
Wenxuan Zhong
336
22
0
19 Oct 2020
Respecting Domain Relations: Hypothesis Invariance for Domain
  Generalization
Respecting Domain Relations: Hypothesis Invariance for Domain Generalization
Ziqi Wang
Marco Loog
Jan van Gemert
OOD
225
56
0
15 Oct 2020
A Cross-Level Information Transmission Network for Predicting Phenotype
  from New Genotype: Application to Cancer Precision Medicine
A Cross-Level Information Transmission Network for Predicting Phenotype from New Genotype: Application to Cancer Precision Medicine
Di He
Lei Xie
66
4
0
09 Oct 2020
Open Set Domain Adaptation using Optimal Transport
Open Set Domain Adaptation using Optimal Transport
Marwa Kechaou
Romain Hérault
Mokhtar Z. Alaya
Gilles Gasso
OTOOD
103
1
0
02 Oct 2020
Unsupervised Model Adaptation for Continual Semantic Segmentation
Unsupervised Model Adaptation for Continual Semantic SegmentationAAAI Conference on Artificial Intelligence (AAAI), 2020
Serban Stan
Mohammad Rostami
OODCLL
207
69
0
26 Sep 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
168
45
0
24 Aug 2020
On Localized Discrepancy for Domain Adaptation
On Localized Discrepancy for Domain Adaptation
Yuchen Zhang
Mingsheng Long
Jianmin Wang
Sai Li
176
18
0
14 Aug 2020
Learning to Match Distributions for Domain Adaptation
Learning to Match Distributions for Domain Adaptation
Chaohui Yu
Yongfeng Zhang
Yu Xie
Tao Qin
Renjun Xu
Wenjie Feng
Yiqiang Chen
Tie-Yan Liu
OOD
236
7
0
17 Jul 2020
Estimating Generalization under Distribution Shifts via Domain-Invariant
  Representations
Estimating Generalization under Distribution Shifts via Domain-Invariant Representations
Ching-Yao Chuang
Antonio Torralba
Stefanie Jegelka
OOD
208
71
0
06 Jul 2020
Multi-source Domain Adaptation via Weighted Joint Distributions Optimal
  Transport
Multi-source Domain Adaptation via Weighted Joint Distributions Optimal TransportConference on Uncertainty in Artificial Intelligence (UAI), 2020
Rosanna Turrisi
Rémi Flamary
A. Rakotomamonjy
Massimiliano Pontil
OT
238
35
0
23 Jun 2020
A survey on domain adaptation theory: learning bounds and theoretical
  guarantees
A survey on domain adaptation theory: learning bounds and theoretical guarantees
I. Redko
Emilie Morvant
Amaury Habrard
M. Sebban
Younès Bennani
OOD
558
148
0
24 Apr 2020
Previous
1234567
Next
Page 5 of 7