Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation

12 October 2020

Papers citing "Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation"

26 / 26 papers shown

Title
Linear Partial Gromov-Wasserstein Embedding Yikun Bai Abihith Kothapalli Hengrong Du Rocio Diaz Martin Soheil Kolouri 37 0 0 22 Oct 2024
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport Milena Gazdieva Jaemoo Choi Alexander Kolesov Jaewoong Choi Petr Mokrov Alexander Korotin OT 53 0 0 04 Oct 2024
Advancing Prompt Learning through an External Layer Fangming Cui Xun Yang Chao Wu Liang Xiao Xinmei Tian VLM 38 1 0 29 Jul 2024
Submodular Framework for Structured-Sparse Optimal Transport Piyushi Manupriya Pratik Jawanpuria Karthik S. Gurumoorthy SakethaNath Jagarlapudi Bamdev Mishra OT 97 0 0 07 Jun 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 56 17 0 28 Feb 2024
Feature Selection via Maximizing Distances between Class Conditional Distributions Chunxu Cao Qiang Zhang 20 0 0 15 Jan 2024
Optimal Transport for Measures with Noisy Tree Metric Tam Le Truyen V. Nguyen Kenji Fukumizu OT 34 4 0 20 Oct 2023
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport Jaemoo Choi Jaewoong Choi Myung-joo Kang OT 46 19 0 24 May 2023
Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation N. Panda Natalie Klein Dominic Yang P. Gasda Diane Oyen 32 1 0 18 Apr 2023
Keypoint-Guided Optimal Transport Xiang Gu Yucheng Yang Weizhen Zeng Jian Sun Zongben Xu 43 1 0 23 Mar 2023
Light Unbalanced Optimal Transport Milena Gazdieva Arip Asadulaev Alexander Korotin Evgeny Burnaev OT 36 1 0 14 Mar 2023
The Monge Gap: A Regularizer to Learn All Transport Maps Théo Uscidda Marco Cuturi OT 55 27 0 09 Feb 2023
Robust Estimation under the Wasserstein Distance Sloan Nietert Rachel Cummings Ziv Goldfeld 36 4 0 02 Feb 2023
Extremal Domain Translation with Neural Optimal Transport Milena Gazdieva Alexander Korotin Daniil Selikhanovych Evgeny Burnaev OT 40 11 0 30 Jan 2023
Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances Sloan Nietert Ritwik Sadhu Ziv Goldfeld Kengo Kato 38 37 0 17 Oct 2022
On making optimal transport robust to all outliers Kilian Fatras OT 24 0 0 23 Jun 2022
Hilbert Curve Projection Distance for Distribution Comparison Tao Li Cheng Meng Hongteng Xu Jun Yu 43 13 0 30 May 2022
Adaptable Text Matching via Meta-Weight Regulator Bo Zhang Chen Zhang Fang Ma D. Song OOD 27 0 0 27 Apr 2022
Outlier-Robust Optimal Transport: Duality, Structure, and Statistical Analysis Sloan Nietert Rachel Cummings Ziv Goldfeld OT 20 26 0 02 Nov 2021
A Prototype-Oriented Framework for Unsupervised Domain Adaptation Korawat Tanwisuth Xinjie Fan Huangjie Zheng Shujian Zhang A. Leon-Garcia Bo Chen Mingyuan Zhou 57 102 0 22 Oct 2021
On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity Khang Le Huy Nguyen Tung Pham Nhat Ho OT 32 8 0 18 Aug 2021
Co-Transport for Class-Incremental Learning Da-Wei Zhou Han-Jia Ye De-Chuan Zhan CLL 39 73 0 27 Jul 2021
A Pseudo-Metric between Probability Distributions based on Depth-Trimmed Regions Guillaume Staerman Pavlo Mozharovskyi Pierre Colombo Stéphan Clémenccon Florence dÁlché-Buc OOD 66 17 0 23 Mar 2021
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation Kilian Fatras Thibault Séjourné Nicolas Courty Rémi Flamary OT 40 146 0 05 Mar 2021
On Robust Optimal Transport: Computational Complexity and Barycenter Computation Khang Le Huy Le Nguyen Quang H. Nguyen Tung Pham Hung Bui Nhat Ho OT 31 37 0 13 Feb 2021
The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation Thibault Séjourné François-Xavier Vialard Gabriel Peyré OT 30 68 0 09 Sep 2020