ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2103.03606
  4. Cited By
Unbalanced minibatch Optimal Transport; applications to Domain
  Adaptation

Unbalanced minibatch Optimal Transport; applications to Domain Adaptation

5 March 2021
Kilian Fatras
Thibault Séjourné
Nicolas Courty
Rémi Flamary
    OT
ArXivPDFHTML

Papers citing "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"

50 / 93 papers shown
Title
Soft-Masked Semi-Dual Optimal Transport for Partial Domain Adaptation
Soft-Masked Semi-Dual Optimal Transport for Partial Domain Adaptation
Yi-Ming Zhai
Chuan-Xian Ren
Hong Yan
52
0
0
03 May 2025
Partial Distribution Alignment via Adaptive Optimal Transport
Pei Yang
Qi Tan
Guihua Wen
35
0
0
07 Mar 2025
Linear Partial Gromov-Wasserstein Embedding
Linear Partial Gromov-Wasserstein Embedding
Yikun Bai
Abihith Kothapalli
Hengrong Du
Rocio Diaz Martin
Soheil Kolouri
27
0
0
22 Oct 2024
An Eye for an Ear: Zero-shot Audio Description Leveraging an Image
  Captioner using Audiovisual Distribution Alignment
An Eye for an Ear: Zero-shot Audio Description Leveraging an Image Captioner using Audiovisual Distribution Alignment
Hugo Malard
Michel Olvera
Stéphane Lathuilière
S. Essid
VLM
34
0
0
08 Oct 2024
Curvature Diversity-Driven Deformation and Domain Alignment for Point
  Cloud
Curvature Diversity-Driven Deformation and Domain Alignment for Point Cloud
Mengxi Wu
Hao Huang
Yi Fang
Mohammad Rostami
24
0
0
03 Oct 2024
Implicit Dynamical Flow Fusion (IDFF) for Generative Modeling
Implicit Dynamical Flow Fusion (IDFF) for Generative Modeling
Mohammad R. Rezaei
Rahul G. Krishnan
Milos R. Popovic
M. Lankarany
DiffM
24
0
0
22 Sep 2024
Partial Distribution Matching via Partial Wasserstein Adversarial
  Networks
Partial Distribution Matching via Partial Wasserstein Adversarial Networks
Zi-Ming Wang
Nan Xue
Ling Lei
Rebecka Jornsten
Gui-Song Xia
OOD
39
0
0
16 Sep 2024
Train Till You Drop: Towards Stable and Robust Source-free Unsupervised
  3D Domain Adaptation
Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation
Björn Michele
Alexandre Boulch
Tuan-Hung Vu
Gilles Puy
Renaud Marlet
Nicolas Courty
TTA
33
0
0
06 Sep 2024
Prototypical Partial Optimal Transport for Universal Domain Adaptation
Prototypical Partial Optimal Transport for Universal Domain Adaptation
Yucheng Yang
Xiang Gu
Jian-jun Sun
OT
37
11
0
02 Aug 2024
Dude: Dual Distribution-Aware Context Prompt Learning For Large
  Vision-Language Model
Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model
D. M. Nguyen
An T. Le
Trung Q. Nguyen
N. T. Diep
Tai Nguyen
D. Duong-Tran
Jan Peters
Li Shen
Mathias Niepert
Daniel Sonntag
VLM
41
3
0
05 Jul 2024
Proximity Matters: Local Proximity Preserved Balancing for Treatment
  Effect Estimation
Proximity Matters: Local Proximity Preserved Balancing for Treatment Effect Estimation
Hao Wang
Zhichao Chen
Yuan Shen
Jiajun Fan
Zhaoran Liu
Degui Yang
Xinggao Liu
Haoxuan Li
38
0
0
01 Jul 2024
Robust Distribution Learning with Local and Global Adversarial
  Corruptions
Robust Distribution Learning with Local and Global Adversarial Corruptions
Sloan Nietert
Ziv Goldfeld
Soroosh Shafiee
OOD
28
0
0
10 Jun 2024
Submodular Framework for Structured-Sparse Optimal Transport
Submodular Framework for Structured-Sparse Optimal Transport
Piyushi Manupriya
Pratik Jawanpuria
Karthik S. Gurumoorthy
SakethaNath Jagarlapudi
Bamdev Mishra
OT
94
0
0
07 Jun 2024
Domain Adaptation with Cauchy-Schwarz Divergence
Domain Adaptation with Cauchy-Schwarz Divergence
Wenzhe Yin
Shujian Yu
Yicong Lin
Jie Li
J. Sonke
E. Gavves
27
3
0
30 May 2024
Addressing Misspecification in Simulation-based Inference through
  Data-driven Calibration
Addressing Misspecification in Simulation-based Inference through Data-driven Calibration
Antoine Wehenkel
Juan L. Gamella
Ozan Sener
Jens Behrmann
Guillermo Sapiro
Marco Cuturi
J. Jacobsen
UQLM
64
8
0
14 May 2024
A Sinkhorn-type Algorithm for Constrained Optimal Transport
A Sinkhorn-type Algorithm for Constrained Optimal Transport
Xun Tang
Holakou Rahmanian
Michael Shavlovsky
K. K. Thekumparampil
Tesi Xiao
Lexing Ying
26
1
0
08 Mar 2024
Global and Local Prompts Cooperation via Optimal Transport for Federated
  Learning
Global and Local Prompts Cooperation via Optimal Transport for Federated Learning
Hongxia Li
Wei Huang
Jingya Wang
Ye-ling Shi
FedML
VLM
33
19
0
29 Feb 2024
Generalized Sobolev Transport for Probability Measures on a Graph
Generalized Sobolev Transport for Probability Measures on a Graph
Tam Le
Truyen V. Nguyen
Kenji Fukumizu
OT
44
5
0
07 Feb 2024
Neural Sinkhorn Gradient Flow
Neural Sinkhorn Gradient Flow
Huminhao Zhu
Fangyikang Wang
Chao Zhang
Han Zhao
Hui Qian
27
5
0
25 Jan 2024
Uncertainty-Guided Alignment for Unsupervised Domain Adaptation in
  Regression
Uncertainty-Guided Alignment for Unsupervised Domain Adaptation in Regression
Ismail Nejjar
Gaetan Frusque
Florent Forest
Olga Fink
EDL
33
2
0
24 Jan 2024
Accelerating Sinkhorn Algorithm with Sparse Newton Iterations
Accelerating Sinkhorn Algorithm with Sparse Newton Iterations
Xun Tang
Michael Shavlovsky
Holakou Rahmanian
Elisa Tardini
K. K. Thekumparampil
Tesi Xiao
Lexing Ying
OT
31
4
0
20 Jan 2024
Adaptive Global-Local Representation Learning and Selection for
  Cross-Domain Facial Expression Recognition
Adaptive Global-Local Representation Learning and Selection for Cross-Domain Facial Expression Recognition
Yuefang Gao
Yuhao Xie
Zeke Zexi Hu
Tianshui Chen
Liang Lin
CVBM
14
3
0
20 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
19
2
0
08 Dec 2023
Optimal Transport for Treatment Effect Estimation
Optimal Transport for Treatment Effect Estimation
Hao Wang
Zhichao Chen
Jiajun Fan
Haoxuan Li
Tianqiao Liu
Weiming Liu
Quanyu Dai
Yichao Wang
Zhenhua Dong
Ruiming Tang
OT
CML
30
35
0
27 Oct 2023
Optimal Transport for Measures with Noisy Tree Metric
Optimal Transport for Measures with Noisy Tree Metric
Tam Le
Truyen V. Nguyen
Kenji Fukumizu
OT
30
4
0
20 Oct 2023
Robust Graph Matching Using An Unbalanced Hierarchical Optimal Transport
  Framework
Robust Graph Matching Using An Unbalanced Hierarchical Optimal Transport Framework
Haoran Cheng
Dixin Luo
Hongteng Xu
OT
16
0
0
18 Oct 2023
Analyzing and Improving Optimal-Transport-based Adversarial Networks
Analyzing and Improving Optimal-Transport-based Adversarial Networks
Jaemoo Choi
Jaewoong Choi
Myungjoo Kang
OT
27
4
0
04 Oct 2023
SE(3)-Stochastic Flow Matching for Protein Backbone Generation
SE(3)-Stochastic Flow Matching for Protein Backbone Generation
A. Bose
Tara Akhound-Sadegh
Guillaume Huguet
Kilian Fatras
Jarrid Rector-Brooks
Cheng-Hao Liu
A. Nica
Maksym Korablyov
Michael M. Bronstein
Alexander Tong
DiffM
41
72
0
03 Oct 2023
Partial Transport for Point-Cloud Registration
Partial Transport for Point-Cloud Registration
Yikun Bai
Huy Tran
S. Damelin
Soheil Kolouri
3DPC
OT
32
1
0
27 Sep 2023
Synergizing Contrastive Learning and Optimal Transport for 3D Point
  Cloud Domain Adaptation
Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation
Siddharth Katageri
Arkadipta De
Chaitanya Devaguptapu
Vssv Prasad
Charu Sharma
Manohar Kaul
3DPC
24
4
0
27 Aug 2023
Match-And-Deform: Time Series Domain Adaptation through Optimal
  Transport and Temporal Alignment
Match-And-Deform: Time Series Domain Adaptation through Optimal Transport and Temporal Alignment
Franccois Painblanc
Laetitia Chapel
Nicolas Courty
Chloé Friguet
Charlotte Pelletier
R. Tavenard
AI4TS
OOD
13
6
0
24 Aug 2023
Simulation-free Schrödinger bridges via score and flow matching
Simulation-free Schrödinger bridges via score and flow matching
Alexander Tong
Nikolay Malkin
Kilian Fatras
Lazar Atanackovic
Yanlei Zhang
G. Huguet
Guy Wolf
Yoshua Bengio
DiffM
OT
31
29
0
07 Jul 2023
Unbalanced Optimal Transport: A Unified Framework for Object Detection
Unbalanced Optimal Transport: A Unified Framework for Object Detection
Henri De Plaen
Pierre-François De Plaen
Johan A. K. Suykens
M. Proesmans
Tinne Tuytelaars
Luc Van Gool
OT
18
10
0
05 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
OOD
OT
17
31
0
28 Jun 2023
Multimodal Optimal Transport-based Co-Attention Transformer with Global
  Structure Consistency for Survival Prediction
Multimodal Optimal Transport-based Co-Attention Transformer with Global Structure Consistency for Survival Prediction
Yingxue Xu
Hao Chen
OffRL
23
41
0
14 Jun 2023
Unbalanced Low-rank Optimal Transport Solvers
Unbalanced Low-rank Optimal Transport Solvers
M. Scetbon
Michal Klein
Giovanni Palla
Marco Cuturi
OT
40
4
0
31 May 2023
Consistent Optimal Transport with Empirical Conditional Measures
Consistent Optimal Transport with Empirical Conditional Measures
Piyushi Manupriya
Rachit Keerti Das
Sayantan Biswas
S. Jagarlapudi
OT
26
3
0
25 May 2023
Generative Modeling through the Semi-dual Formulation of Unbalanced
  Optimal Transport
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport
Jaemoo Choi
Jaewoong Choi
Myung-joo Kang
OT
23
19
0
24 May 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
OT
OOD
13
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
43
12
0
08 May 2023
Semi-supervised Domain Adaptation via Prototype-based Multi-level
  Learning
Semi-supervised Domain Adaptation via Prototype-based Multi-level Learning
Xinyang Huang
Chuanglu Zhu
Wenkai Chen
29
12
0
04 May 2023
Semi-supervised Learning of Pushforwards For Domain Translation &
  Adaptation
Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation
N. Panda
Natalie Klein
Dominic Yang
P. Gasda
Diane Oyen
27
1
0
18 Apr 2023
Implicit Bayes Adaptation: A Collaborative Transport Approach
Implicit Bayes Adaptation: A Collaborative Transport Approach
Bo-Wei Jiang
Hamid Krim
Tianfu Wu
D. Cansever
11
1
0
17 Apr 2023
SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation
SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation
Bjoern Michele
Alexandre Boulch
Gilles Puy
Tuan-Hung Vu
Renaud Marlet
Nicolas Courty
51
13
0
06 Apr 2023
GenPhys: From Physical Processes to Generative Models
GenPhys: From Physical Processes to Generative Models
Ziming Liu
Di Luo
Yilun Xu
Tommi Jaakkola
M. Tegmark
AI4CE
14
14
0
05 Apr 2023
Light Unbalanced Optimal Transport
Light Unbalanced Optimal Transport
Milena Gazdieva
Arip Asadulaev
Alexander Korotin
Evgeny Burnaev
OT
18
1
0
14 Mar 2023
Scalable Unbalanced Sobolev Transport for Measures on a Graph
Scalable Unbalanced Sobolev Transport for Measures on a Graph
Tam Le
Truyen V. Nguyen
Kenji Fukumizu
OT
25
9
0
24 Feb 2023
Graph Matching Optimization Network for Point Cloud Registration
Graph Matching Optimization Network for Point Cloud Registration
Qianliang Wu
Yaqi Shen
Haobo Jiang
Guofeng Mei
Yaqing Ding
Lei Luo
Jin Xie
Jian Yang
3DPC
32
2
0
12 Feb 2023
Linear Optimal Partial Transport Embedding
Linear Optimal Partial Transport Embedding
Yikun Bai
I. Medri
Rocio Diaz Martin
Rana Muhammad Shahroz Khan
Soheil Kolouri
OT
35
9
0
07 Feb 2023
Interpolation for Robust Learning: Data Augmentation on Wasserstein
  Geodesics
Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics
Jiacheng Zhu
Jielin Qiu
Aritra Guha
Zhuolin Yang
X. Nguyen
Bo-wen Li
Ding Zhao
OOD
32
2
0
04 Feb 2023
12
Next