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Scalable Optimal Transport Methods in Machine Learning: A Contemporary Survey

8 May 2023

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Papers citing "Scalable Optimal Transport Methods in Machine Learning: A Contemporary Survey"

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Title
Learning to Generate Novel Domains for Domain Generalization Kaiyang Zhou Yongxin Yang Timothy M. Hospedales Tao Xiang OOD 130 456 0 07 Jul 2020
Linear Time Sinkhorn Divergences using Positive Features M. Scetbon Marco Cuturi 101 26 0 12 Jun 2020
Learning 3D-3D Correspondences for One-shot Partial-to-partial Registration Zheng Dang Fei Wang Mathieu Salzmann 3DPC 37 19 0 08 Jun 2020
Entropy-Regularized $2$ -Wasserstein Distance between Gaussian Measures Anton Mallasto Augusto Gerolin H. Q. Minh 74 53 0 05 Jun 2020
Feature Robust Optimal Transport for High-dimensional Data Mathis Petrovich Chao Liang Ryoma Sato Yanbin Liu Yao-Hung Hubert Tsai Linchao Zhu Yi Yang Ruslan Salakhutdinov M. Yamada OT OOD 63 7 0 25 May 2020
A Study of Performance of Optimal Transport Yihe Dong Yu Gao Richard Peng Ilya P. Razenshteyn Saurabh Sawlani OT 43 17 0 03 May 2020
A survey on domain adaptation theory: learning bounds and theoretical guarantees I. Redko Emilie Morvant Amaury Habrard M. Sebban Younès Bennani OOD 152 135 0 24 Apr 2020
Statistical and Topological Properties of Sliced Probability Divergences Kimia Nadjahi Alain Durmus Lénaïc Chizat Soheil Kolouri Shahin Shahrampour Umut Simsekli 62 86 0 12 Mar 2020
LEEP: A New Measure to Evaluate Transferability of Learned Representations Cuong V Nguyen Tal Hassner Matthias Seeger Cédric Archambeau 85 220 0 27 Feb 2020
On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm Khiem Pham Khang Le Nhat Ho Tung Pham Hung Bui OT 96 84 0 09 Feb 2020
Geometric Dataset Distances via Optimal Transport David Alvarez-Melis Nicolò Fusi OT 132 205 0 07 Feb 2020
Gaussian-Smooth Optimal Transport: Metric Structure and Statistical Efficiency Ziv Goldfeld Kristjan Greenewald OT 61 41 0 24 Jan 2020
Gradient descent algorithms for Bures-Wasserstein barycenters Sinho Chewi Tyler Maunu Philippe Rigollet Austin J. Stromme 53 87 0 06 Jan 2020
Speeding up Word Mover's Distance and its variants via properties of distances between embeddings Matheus Werner E. Laber 52 14 0 01 Dec 2019
Self-labelling via simultaneous clustering and representation learning Yuki M. Asano Christian Rupprecht Andrea Vedaldi SSL 123 778 0 13 Nov 2019
A Comprehensive Survey on Transfer Learning Fuzhen Zhuang Zhiyuan Qi Keyu Duan Dongbo Xi Yongchun Zhu Hengshu Zhu Hui Xiong Qing He 192 4,474 0 07 Nov 2019
Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic Spaces David Alvarez-Melis Youssef Mroueh Tommi Jaakkola OT 79 24 0 06 Nov 2019
Multi-marginal Wasserstein GAN Jingyun Liang Langyuan Mo Yifan Zhang Kui Jia Chunhua Shen Mingkui Tan 65 78 0 03 Nov 2019
Sinkhorn Divergences for Unbalanced Optimal Transport Thibault Séjourné Jean Feydy Franccois-Xavier Vialard A. Trouvé Gabriel Peyré OT 85 74 0 28 Oct 2019
Model Fusion via Optimal Transport Sidak Pal Singh Martin Jaggi MoMe FedML 125 241 0 12 Oct 2019
Deep Declarative Networks: A New Hope Stephen Gould Leonid Sigal Dylan Campbell AI4CE 79 107 0 11 Sep 2019
Optimal transport mapping via input convex neural networks Ashok Vardhan Makkuva Amirhossein Taghvaei Sewoong Oh Jason D. Lee OT 74 202 0 28 Aug 2019
Transferability and Hardness of Supervised Classification Tasks Anh Tran Cuong V Nguyen Tal Hassner 177 168 0 21 Aug 2019
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection Yue Liu Zeyi Wen Zhaomin Wu Sixu Hu Naibo Wang Yuan N. Li Xu Liu Bingsheng He FedML 130 1,006 0 23 Jul 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,961 0 12 Jul 2019
Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance Kimia Nadjahi Alain Durmus Umut Simsekli Roland Badeau MedIm 70 63 0 11 Jun 2019
GOT: An Optimal Transport framework for Graph comparison Hermina Petric Maretic Mireille El Gheche Giovanni Chierchia P. Frossard OT 147 120 0 05 Jun 2019
Convergence of Smoothed Empirical Measures with Applications to Entropy Estimation Ziv Goldfeld Kristjan Greenewald Yury Polyanskiy Jonathan Niles-Weed 89 68 0 30 May 2019
Differentiable Ranks and Sorting using Optimal Transport Marco Cuturi O. Teboul Jean-Philippe Vert OT 86 159 0 28 May 2019
Sliced Gromov-Wasserstein Titouan Vayer Rémi Flamary Romain Tavenard Laetitia Chapel Nicolas Courty OT 71 100 0 24 May 2019
Subspace Detours: Building Transport Plans that are Optimal on Subspace Projections Boris Muzellec Marco Cuturi OT 58 31 0 24 May 2019
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching Hongteng Xu Dixin Luo Lawrence Carin 64 197 0 18 May 2019
Learning Generative Models across Incomparable Spaces Charlotte Bunne David Alvarez-Melis Andreas Krause Stefanie Jegelka GAN 63 112 0 14 May 2019
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 56 201 0 11 Apr 2019
Learning Combinatorial Embedding Networks for Deep Graph Matching Runzhong Wang Junchi Yan Xiaokang Yang 57 238 0 01 Apr 2019
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation Chen-Yu Lee Tanmay Batra M. H. Baig Daniel Ulbricht 144 543 0 10 Mar 2019
Wasserstein Adversarial Examples via Projected Sinkhorn Iterations Eric Wong Frank R. Schmidt J. Zico Kolter AAML 93 211 0 21 Feb 2019
Generalized Sliced Wasserstein Distances Soheil Kolouri Kimia Nadjahi Umut Simsekli Roland Badeau Gustavo K. Rohde 60 301 0 01 Feb 2019
Subspace Robust Wasserstein Distances François-Pierre Paty Marco Cuturi 180 155 0 25 Jan 2019
Semi-dual Regularized Optimal Transport Marco Cuturi Gabriel Peyré OT 152 51 0 13 Nov 2018
Interpolating between Optimal Transport and MMD using Sinkhorn Divergences Jean Feydy Thibault Séjourné François-Xavier Vialard S. Amari A. Trouvé Gabriel Peyré OT 70 532 0 18 Oct 2018
Gromov-Wasserstein Alignment of Word Embedding Spaces David Alvarez-Melis Tommi Jaakkola OT 56 328 0 31 Aug 2018
Statistical Optimal Transport via Factored Couplings Aden Forrow Jan-Christian Hütter Mor Nitzan Philippe Rigollet Geoffrey Schiebinger Jonathan Niles-Weed OT 154 70 0 19 Jun 2018
Optimal Transport for structured data with application on graphs Titouan Vayer Laetitia Chapel Rémi Flamary R. Tavenard Nicolas Courty OT 75 274 0 23 May 2018
Generalizing Across Domains via Cross-Gradient Training Shiv Shankar Vihari Piratla Soumen Chakrabarti S. Chaudhuri Preethi Jyothi Sunita Sarawagi OOD 85 517 0 28 Apr 2018
Convergence and Concentration of Empirical Measures under Wasserstein Distance in Unbounded Functional Spaces Jing Lei 64 120 0 27 Apr 2018
Taskonomy: Disentangling Task Transfer Learning Amir Zamir Alexander Sax Bokui (William) Shen Leonidas Guibas Jitendra Malik Silvio Savarese 126 1,222 0 23 Apr 2018
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation B. Damodaran B. Kellenberger Rémi Flamary D. Tuia Nicolas Courty OT OOD 89 467 0 27 Mar 2018
Optimal Transport for Multi-source Domain Adaptation under Target Shift I. Redko Nicolas Courty Rémi Flamary D. Tuia OOD 38 142 0 13 Mar 2018
AttGAN: Facial Attribute Editing by Only Changing What You Want Zhenliang He W. Zuo Meina Kan Shiguang Shan Xilin Chen GAN CVBM 95 704 0 29 Nov 2017