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On making optimal transport robust to all outliers

On making optimal transport robust to all outliers

23 June 2022
Kilian Fatras
    OT
ArXivPDFHTML

Papers citing "On making optimal transport robust to all outliers"

15 / 15 papers shown
Title
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
68
151
0
05 Mar 2021
Robust Optimal Transport with Applications in Generative Modeling and
  Domain Adaptation
Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation
Yogesh Balaji
Ramalingam Chellappa
Soheil Feizi
OT
148
105
0
12 Oct 2020
DivideMix: Learning with Noisy Labels as Semi-supervised Learning
DivideMix: Learning with Noisy Labels as Semi-supervised Learning
Junnan Li
R. Socher
Guosheng Lin
NoLa
105
1,029
0
18 Feb 2020
On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm
On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm
Khiem Pham
Khang Le
Nhat Ho
Tung Pham
Hung Bui
OT
75
84
0
09 Feb 2020
Interpolating between Optimal Transport and MMD using Sinkhorn
  Divergences
Interpolating between Optimal Transport and MMD using Sinkhorn Divergences
Jean Feydy
Thibault Séjourné
François-Xavier Vialard
S. Amari
A. Trouvé
Gabriel Peyré
OT
55
527
0
18 Oct 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
OT
OOD
76
466
0
27 Mar 2018
Computational Optimal Transport
Computational Optimal Transport
Gabriel Peyré
Marco Cuturi
OT
211
2,146
0
01 Mar 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
273
8,878
0
25 Aug 2017
Joint Distribution Optimal Transportation for Domain Adaptation
Joint Distribution Optimal Transportation for Domain Adaptation
Nicolas Courty
Rémi Flamary
Amaury Habrard
A. Rakotomamonjy
OT
OOD
80
564
0
24 May 2017
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
197
9,545
0
31 Mar 2017
Understanding deep learning requires rethinking generalization
Understanding deep learning requires rethinking generalization
Chiyuan Zhang
Samy Bengio
Moritz Hardt
Benjamin Recht
Oriol Vinyals
HAI
336
4,625
0
10 Nov 2016
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
366
9,484
0
28 May 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
269
19,045
0
20 Dec 2014
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation
  Distances
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Marco Cuturi
OT
209
4,258
0
04 Jun 2013
Identifying Mislabeled Training Data
Identifying Mislabeled Training Data
C. Brodley
M. Friedl
107
969
0
01 Jun 2011
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