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. 2005.12123
  4. Cited By
Feature Robust Optimal Transport for High-dimensional Data

Feature Robust Optimal Transport for High-dimensional Data

25 May 2020
Mathis Petrovich
Chao Liang
Ryoma Sato
Yanbin Liu
Yao-Hung Hubert Tsai
Linchao Zhu
Yi Yang
Ruslan Salakhutdinov
M. Yamada
    OT
    OOD
ArXivPDFHTML

Papers citing "Feature Robust Optimal Transport for High-dimensional Data"

16 / 16 papers shown
Title
SuperGlue: Learning Feature Matching with Graph Neural Networks
SuperGlue: Learning Feature Matching with Graph Neural Networks
Paul-Edouard Sarlin
Daniel DeTone
Tomasz Malisiewicz
Andrew Rabinovich
3DPC
OffRL
109
1,933
0
26 Nov 2019
Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic
  Spaces
Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic Spaces
David Alvarez-Melis
Youssef Mroueh
Tommi Jaakkola
OT
57
24
0
06 Nov 2019
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural
  Features
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features
Juhong Min
Jongmin Lee
Jean Ponce
Minsu Cho
76
108
0
18 Aug 2019
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching
Hongteng Xu
Dixin Luo
Lawrence Carin
57
195
0
18 May 2019
Learning Generative Models across Incomparable Spaces
Learning Generative Models across Incomparable Spaces
Charlotte Bunne
David Alvarez-Melis
Andreas Krause
Stefanie Jegelka
GAN
52
112
0
14 May 2019
Max-Sliced Wasserstein Distance and its use for GANs
Max-Sliced Wasserstein Distance and its use for GANs
Ishani Deshpande
Yuan-Ting Hu
Ruoyu Sun
A. Pyrros
Nasir Siddiqui
Oluwasanmi Koyejo
Zhizhen Zhao
David A. Forsyth
Alex Schwing
GAN
40
201
0
11 Apr 2019
Sliced Wasserstein Generative Models
Jiqing Wu
Zhiwu Huang
Dinesh Acharya
Wen Li
Janine Thoma
D. Paudel
Luc Van Gool
DiffM
113
126
0
10 Apr 2019
Subspace Robust Wasserstein Distances
Subspace Robust Wasserstein Distances
François-Pierre Paty
Marco Cuturi
149
155
0
25 Jan 2019
Attentive Semantic Alignment with Offset-Aware Correlation Kernels
Attentive Semantic Alignment with Offset-Aware Correlation Kernels
Paul Hongsuck Seo
Jongmin Lee
Deunsol Jung
Bohyung Han
Minsu Cho
71
77
0
06 Aug 2018
Computational Optimal Transport
Computational Optimal Transport
Gabriel Peyré
Marco Cuturi
OT
217
2,147
0
01 Mar 2018
Convolutional neural network architecture for geometric matching
Convolutional neural network architecture for geometric matching
Ignacio Rocco
Relja Arandjelović
Josef Sivic
99
545
0
16 Mar 2017
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSL
SSeg
FAtt
250
9,308
0
14 Dec 2015
Sliced Wasserstein Kernels for Probability Distributions
Sliced Wasserstein Kernels for Probability Distributions
Soheil Kolouri
Yang Zou
Gustavo K. Rohde
39
161
0
10 Nov 2015
Fast Computation of Wasserstein Barycenters
Fast Computation of Wasserstein Barycenters
Marco Cuturi
Arnaud Doucet
OT
94
740
0
16 Oct 2013
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation
  Distances
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Marco Cuturi
OT
212
4,259
0
04 Jun 2013
Relative Density-Ratio Estimation for Robust Distribution Comparison
Relative Density-Ratio Estimation for Robust Distribution Comparison
M. Yamada
Taiji Suzuki
Takafumi Kanamori
Hirotaka Hachiya
Masashi Sugiyama
89
221
0
23 Jun 2011
1