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Optimal Transport for Multi-source Domain Adaptation under Target Shift
v1v2v3 (latest)

Optimal Transport for Multi-source Domain Adaptation under Target Shift

13 March 2018
I. Redko
Nicolas Courty
Rémi Flamary
D. Tuia
    OOD
ArXiv (abs)PDFHTML

Papers citing "Optimal Transport for Multi-source Domain Adaptation under Target Shift"

50 / 84 papers shown
Title
Logical Consistency is Vital: Neural-Symbolic Information Retrieval for Negative-Constraint Queries
Logical Consistency is Vital: Neural-Symbolic Information Retrieval for Negative-Constraint Queries
Ganlin Xu
Zhoujia Zhang
Wangyi Mei
Jiaqing Liang
Weijia Lu
Xiaodong Zhang
Zhifei Yang
Xiaofeng Ma
Yanghua Xiao
Deqing Yang
NAI
10
0
0
28 May 2025
Discovering Fine-Grained Visual-Concept Relations by Disentangled Optimal Transport Concept Bottleneck Models
Discovering Fine-Grained Visual-Concept Relations by Disentangled Optimal Transport Concept Bottleneck Models
Yan Xie
Zequn Zeng
Hao Zhang
Yucheng Ding
Yun Wang
Zhengjue Wang
Bo Chen
Hongwei Liu
OT
86
1
0
12 May 2025
Generalizable Prompt Learning of CLIP: A Brief Overview
Generalizable Prompt Learning of CLIP: A Brief Overview
Fangming Cui
Yonggang Zhang
Xuan Wang
Xule Wang
Liang Xiao
VPVLMVLM
514
1
0
03 Mar 2025
Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport
Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport
Bin Li
Ye-ling Shi
Qian Yu
Jingya Wang
OT
99
2
0
31 Dec 2024
Advancing Prompt Learning through an External Layer
Advancing Prompt Learning through an External Layer
Fangming Cui
Xun Yang
Chao Wu
Liang Xiao
Xinmei Tian
VLM
126
3
0
29 Jul 2024
SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities
SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities
Yanis Lalou
Théo Gnassounou
Antoine Collas
Antoine de Mathelin
Oleksii Kachaiev
Ambroise Odonnat
Alexandre Gramfort
Thomas Moreau
Rémi Flamary
234
0
0
16 Jul 2024
When Invariant Representation Learning Meets Label Shift: Insufficiency
  and Theoretical Insights
When Invariant Representation Learning Meets Label Shift: Insufficiency and Theoretical Insights
You-Wei Luo
Chuan-Xian Ren
OOD
68
3
0
24 Jun 2024
Multi-source Unsupervised Domain Adaptation on Graphs with
  Transferability Modeling
Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling
Tianxiang Zhao
Dongsheng Luo
Xiang Zhang
Suhang Wang
52
3
0
14 Jun 2024
More is Better: Deep Domain Adaptation with Multiple Sources
More is Better: Deep Domain Adaptation with Multiple Sources
Sicheng Zhao
Hui Chen
Hu Huang
Pengfei Xu
Guiguang Ding
86
6
0
01 May 2024
What Is a Good Imputation Under MAR Missingness?
What Is a Good Imputation Under MAR Missingness?
Jeffrey Näf
Erwan Scornet
Julie Josse
63
2
0
28 Mar 2024
A Unified Optimal Transport Framework for Cross-Modal Retrieval with
  Noisy Labels
A Unified Optimal Transport Framework for Cross-Modal Retrieval with Noisy Labels
Haocheng Han
Minnan Luo
Huan Liu
Fang Nan
72
0
0
20 Mar 2024
Optimal Transport for Domain Adaptation through Gaussian Mixture Models
Optimal Transport for Domain Adaptation through Gaussian Mixture Models
Eduardo Fernandes Montesuma
Fred-Maurice Ngole-Mboula
Antoine Souloumiac
OT
134
1
0
18 Mar 2024
Learning to Rematch Mismatched Pairs for Robust Cross-Modal Retrieval
Learning to Rematch Mismatched Pairs for Robust Cross-Modal Retrieval
Haocheng Han
Qinghua Zheng
Guangwen Dai
Minnan Luo
Jingdong Wang
66
6
0
08 Mar 2024
Advancing Location-Invariant and Device-Agnostic Motion Activity
  Recognition on Wearable Devices
Advancing Location-Invariant and Device-Agnostic Motion Activity Recognition on Wearable Devices
Rebecca Adaimi
Abdelkareem Bedri
Jun Gong
Richard Kang
Joanna Arreaza-Taylor
Gerri-Michelle Pascual
Michael Ralph
Gierad Laput
HAI
89
1
0
06 Feb 2024
A Class-aware Optimal Transport Approach with Higher-Order Moment
  Matching for Unsupervised Domain Adaptation
A Class-aware Optimal Transport Approach with Higher-Order Moment Matching for Unsupervised Domain Adaptation
Tuan Nguyen
Van Nguyen
Trung Le
He Zhao
Quan Hung Tran
Dinh Q. Phung
OT
71
1
0
29 Jan 2024
The Synergy Between Optimal Transport Theory and Multi-Agent
  Reinforcement Learning
The Synergy Between Optimal Transport Theory and Multi-Agent Reinforcement Learning
Ali Baheri
Mykel J. Kochenderfer
OT
61
3
0
18 Jan 2024
A Unified Framework for Unsupervised Domain Adaptation based on Instance
  Weighting
A Unified Framework for Unsupervised Domain Adaptation based on Instance Weighting
Jinjing Zhu
Feiyang Ye
Qiao Xiao
Pengxin Guo
Yu Zhang
Qiang Yang
70
2
0
08 Dec 2023
Data Valuation and Detections in Federated Learning
Data Valuation and Detections in Federated Learning
Wenqian Li
Shuran Fu
Fengrui Zhang
Yan Pang
FedMLTDI
83
6
0
09 Nov 2023
A Specialized Semismooth Newton Method for Kernel-Based Optimal
  Transport
A Specialized Semismooth Newton Method for Kernel-Based Optimal Transport
Tianyi Lin
Marco Cuturi
Michael I. Jordan
OT
73
0
0
21 Oct 2023
Gradual Domain Adaptation: Theory and Algorithms
Gradual Domain Adaptation: Theory and Algorithms
Yifei He
Haoxiang Wang
Bo Li
Han Zhao
CLL
133
6
0
20 Oct 2023
PatchCT: Aligning Patch Set and Label Set with Conditional Transport for
  Multi-Label Image Classification
PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image Classification
Miaoge Li
Dongsheng Wang
Xinyang Liu
Zequn Zeng
Ruiying Lu
Bo Chen
Mingyuan Zhou
VLMOT
103
15
0
18 Jul 2023
Recent Advances in Optimal Transport for Machine Learning
Recent Advances in Optimal Transport for Machine Learning
Eduardo Fernandes Montesuma
Fred-Maurice Ngole-Mboula
Antoine Souloumiac
OODOT
91
39
0
28 Jun 2023
Learning representations that are closed-form Monge mapping optimal with
  application to domain adaptation
Learning representations that are closed-form Monge mapping optimal with application to domain adaptation
Oliver Struckmeier
I. Redko
Anton Mallasto
Karol Arndt
Markus Heinonen
Ville Kyrki
OTOOD
81
2
0
12 May 2023
Scalable Optimal Transport Methods in Machine Learning: A Contemporary
  Survey
Scalable Optimal Transport Methods in Machine Learning: A Contemporary Survey
Abdelwahed Khamis
Russell Tsuchida
Mohamed Tarek
V. Rolland
Lars Petersson
OT
128
14
0
08 May 2023
Algorithm-Dependent Bounds for Representation Learning of Multi-Source
  Domain Adaptation
Algorithm-Dependent Bounds for Representation Learning of Multi-Source Domain Adaptation
Qi Chen
M. Marchand
OOD
67
9
0
04 Apr 2023
Practicality of generalization guarantees for unsupervised domain
  adaptation with neural networks
Practicality of generalization guarantees for unsupervised domain adaptation with neural networks
Adam Breitholtz
Fredrik D. Johansson
OOD
50
1
0
15 Mar 2023
Uncovering Challenges of Solving the Continuous Gromov-Wasserstein Problem
Uncovering Challenges of Solving the Continuous Gromov-Wasserstein Problem
Xavier Aramayo Carrasco
Maksim Nekrashevich
Petr Mokrov
Evgeny Burnaev
Alexander Korotin
OT
98
7
0
10 Mar 2023
Domain Adaptation for Time Series Under Feature and Label Shifts
Domain Adaptation for Time Series Under Feature and Label Shifts
Huan He
Owen Queen
Teddy Koker
Consuelo Cuevas
Theodoros Tsiligkaridis
Marinka Zitnik
AI4TS
109
70
0
06 Feb 2023
Learning Gradients of Convex Functions with Monotone Gradient Networks
Learning Gradients of Convex Functions with Monotone Gradient Networks
Shreyas Chaudhari
Srinivasa Pranav
J. M. F. Moura
61
7
0
25 Jan 2023
Wasserstein Barycenter-based Model Fusion and Linear Mode Connectivity
  of Neural Networks
Wasserstein Barycenter-based Model Fusion and Linear Mode Connectivity of Neural Networks
A. K. Akash
Sixu Li
Nicolas García Trillos
71
13
0
13 Oct 2022
InfoOT: Information Maximizing Optimal Transport
InfoOT: Information Maximizing Optimal Transport
Ching-Yao Chuang
Stefanie Jegelka
David Alvarez-Melis
OT
109
12
0
06 Oct 2022
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning
Haobo Wang
Mingxuan Xia
Yixuan Li
Yuren Mao
Lei Feng
Gang Chen
Jiaqi Zhao
97
40
0
21 Sep 2022
Optimal transport meets noisy label robust loss and MixUp regularization
  for domain adaptation
Optimal transport meets noisy label robust loss and MixUp regularization for domain adaptation
Kilian Fatras
Hiroki Naganuma
Ioannis Mitliagkas
OOD
49
6
0
22 Jun 2022
Meta Optimal Transport
Meta Optimal Transport
Brandon Amos
Samuel N. Cohen
Giulia Luise
I. Redko
OT
103
24
0
10 Jun 2022
Connecting adversarial attacks and optimal transport for domain
  adaptation
Connecting adversarial attacks and optimal transport for domain adaptation
Arip Asadulaev
V. Shutov
Alexander Korotin
Alexander Panfilov
Andrey Filchenkov
OODOT
55
0
0
30 May 2022
Neural Optimal Transport with General Cost Functionals
Neural Optimal Transport with General Cost Functionals
Arip Asadulaev
Alexander Korotin
Vage Egiazarian
Petr Mokrov
Evgeny Burnaev
OT
124
34
0
30 May 2022
Unbalanced CO-Optimal Transport
Unbalanced CO-Optimal Transport
Quang-Huy Tran
H. Janati
Nicolas Courty
Rémi Flamary
I. Redko
Pinar Demetci
Ritambhara Singh
OT
62
11
0
30 May 2022
On the Convergence of Semi-Relaxed Sinkhorn with Marginal Constraint and
  OT Distance Gaps
On the Convergence of Semi-Relaxed Sinkhorn with Marginal Constraint and OT Distance Gaps
Takumi Fukunaga
Hiroyuki Kasai
OT
129
2
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
OODOT
84
11
0
22 May 2022
A scalable deep learning approach for solving high-dimensional dynamic
  optimal transport
A scalable deep learning approach for solving high-dimensional dynamic optimal transport
Wei Wan
Yuejin Zhang
Chenglong Bao
Bin Dong
Zuoqiang Shi
49
6
0
16 May 2022
Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path
  and Beyond
Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond
Haoxiang Wang
Yue Liu
Han Zhao
OODCLL
60
39
0
18 Apr 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
73
2
0
09 Mar 2022
GAN Estimation of Lipschitz Optimal Transport Maps
GAN Estimation of Lipschitz Optimal Transport Maps
Alberto González Sanz
Lucas de Lara
Louis Bethune
Jean-Michel Loubes
OT
45
4
0
16 Feb 2022
Measure Estimation in the Barycentric Coding Model
Measure Estimation in the Barycentric Coding Model
Matthew Werenski
Ruijie Jiang
Abiy Tasissa
Shuchin Aeron
James M. Murphy
89
14
0
28 Jan 2022
Parameter tuning and model selection in optimal transport with semi-dual
  Brenier formulation
Parameter tuning and model selection in optimal transport with semi-dual Brenier formulation
A. Vacher
Franccois-Xavier Vialard
OT
64
4
0
14 Dec 2021
Hierarchical Optimal Transport for Unsupervised Domain Adaptation
Hierarchical Optimal Transport for Unsupervised Domain Adaptation
Mourad El Hamri
Younès Bennani
Issam Falih
Hamid Ahaggach
OT
64
18
0
03 Dec 2021
On Learning Domain-Invariant Representations for Transfer Learning with
  Multiple Sources
On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources
Trung-Nghia Phung
Trung Le
L. Vuong
Toan M. Tran
Anh Tran
Hung Bui
Dinh Q. Phung
OODAI4CE
75
19
0
27 Nov 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
94
24
0
26 Oct 2021
Label Propagation Through Optimal Transport
Label Propagation Through Optimal Transport
Mourad El Hamri
Younès Bennani
Issam Falih
OT
56
4
0
01 Oct 2021
Transport-based Counterfactual Models
Transport-based Counterfactual Models
Lucas de Lara
Alberto González Sanz
Nicholas M. Asher
Laurent Risser
Jean-Michel Loubes
52
31
0
30 Aug 2021
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