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Joint Distribution Optimal Transportation for Domain Adaptation

24 May 2017

Papers citing "Joint Distribution Optimal Transportation for Domain Adaptation"

50 / 290 papers shown

Title
Explaining and Adapting Graph Conditional Shift Qi Zhu Yizhu Jiao Natalia Ponomareva Jiawei Han Bryan Perozzi OOD 67 10 0 05 Jun 2023
Optimal transport for automatic alignment of untargeted metabolomic data Marie Breeur George Stepaniants Pekka Keski-Rahkonen Philippe Rigollet V. Viallon OT 31 1 0 05 Jun 2023
Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs Jacob Lindbäck Zesen Wang Mikael Johansson OT 93 1 0 29 May 2023
Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models Z. Y. Wan Ricardo Baptista Yi-fan Chen John R. Anderson Anudhyan Boral Fei Sha Leonardo Zepeda-Núñez DiffM 101 24 0 24 May 2023
Minimizing $f$ -Divergences by Interpolating Velocity Fields Song Liu Jiahao Yu J. Simons Mingxuan Yi Mark Beaumont 115 5 0 24 May 2023
Computing high-dimensional optimal transport by flow neural networks Chen Xu Xiuyuan Cheng Yao Xie OT 173 5 0 19 May 2023
To transfer or not transfer: Unified transferability metric and analysis Qianshan Zhan Fangyin Wei 75 2 0 12 May 2023
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 92 2 0 12 May 2023
Speeding up Monte Carlo Integration: Control Neighbors for Optimal Convergence Rémi Leluc Franccois Portier Johan Segers Aigerim Zhuman 81 8 0 10 May 2023
Scalable Optimal Transport Methods in Machine Learning: A Contemporary Survey Abdelwahed Khamis Russell Tsuchida Mohamed Tarek V. Rolland Lars Petersson OT 136 14 0 08 May 2023
A multimodal dynamical variational autoencoder for audiovisual speech representation learning Samir Sadok Simon Leglaive Laurent Girin Xavier Alameda-Pineda Renaud Séguier 98 13 0 05 May 2023
Semi-supervised Domain Adaptation via Prototype-based Multi-level Learning Xinyang Huang Chuanglu Zhu Wenkai Chen 141 13 0 04 May 2023
Regularizing Self-training for Unsupervised Domain Adaptation via Structural Constraints Rajshekhar Das Jonathan M Francis Sanket Vaibhav Mehta Jean Oh Emma Strubell Jose Moura 122 1 0 29 Apr 2023
LAVA: Data Valuation without Pre-Specified Learning Algorithms H. Just Feiyang Kang Jiachen T. Wang Yi Zeng Myeongseob Ko Ming Jin R. Jia 109 62 0 28 Apr 2023
Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation N. Panda Natalie Klein Dominic Yang P. Gasda Diane Oyen 63 1 0 18 Apr 2023
Algorithm-Dependent Bounds for Representation Learning of Multi-Source Domain Adaptation Qi Chen M. Marchand OOD 72 9 0 04 Apr 2023
Diffusion Schrödinger Bridge Matching Yuyang Shi Valentin De Bortoli Andrew Campbell Arnaud Doucet DiffM OT 128 87 0 29 Mar 2023
Domain Adaptive Semantic Segmentation by Optimal Transport Yaqian Guo Xiao Wang Ce Li Shihui Ying OT 104 11 0 29 Mar 2023
Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective Jinjing Zhu Haotian Bai Lin Wang ViT 143 78 0 23 Mar 2023
DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inverse Gram Matrices Ismail Nejjar Qin Wang Olga Fink 94 35 0 23 Mar 2023
Practicality of generalization guarantees for unsupervised domain adaptation with neural networks Adam Breitholtz Fredrik D. Johansson OOD 55 1 0 15 Mar 2023
The Monge Gap: A Regularizer to Learn All Transport Maps Théo Uscidda Marco Cuturi OT 93 30 0 09 Feb 2023
Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps Marco Cuturi Michal Klein Pierre Ablin OT 86 15 0 08 Feb 2023
A Prototype-Oriented Clustering for Domain Shift with Source Privacy Korawat Tanwisuth Shujian Zhang Pengcheng He Mingyuan Zhou 77 3 0 08 Feb 2023
Linear Optimal Partial Transport Embedding Yikun Bai Ivan Medri Rocio Diaz Martin Rana Muhammad Shahroz Khan Soheil Kolouri OT 106 9 0 07 Feb 2023
Domain Adaptation for Time Series Under Feature and Label Shifts Huan He Owen Queen Teddy Koker Consuelo Cuevas Theodoros Tsiligkaridis Marinka Zitnik AI4TS 112 71 0 06 Feb 2023
Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics Jiacheng Zhu Jielin Qiu Aritra Guha Zhuolin Yang X. Nguyen Yue Liu Ding Zhao OOD 104 2 0 04 Feb 2023
Dynamic Flows on Curved Space Generated by Labeled Data Xinru Hua Truyen V. Nguyen Tam Le Jose H. Blanchet Viet Anh Nguyen 101 9 0 31 Jan 2023
Graph Harmony: Denoising and Nuclear-Norm Wasserstein Adaptation for Enhanced Domain Transfer in Graph-Structured Data Mengxi Wu Mohammad Rostami AI4CE 77 3 0 29 Jan 2023
Decentralized Entropic Optimal Transport for Privacy-preserving Distributed Distribution Comparison Xiangfeng Wang Hongteng Xu Moyi Yang OT 107 2 0 28 Jan 2023
Discriminative Radial Domain Adaptation Zenan Huang Jun Wen Siheng Chen Linchao Zhu Nenggan Zheng OOD 116 14 0 01 Jan 2023
Target Conditioned Representation Independence (TCRI); From Domain-Invariant to Domain-General Representations Olawale Salaudeen Oluwasanmi Koyejo 74 3 0 21 Dec 2022
Learning List-Level Domain-Invariant Representations for Ranking Ruicheng Xian Honglei Zhuang Zhen Qin Hamed Zamani Jing Lu Ji Ma Kai Hui Han Zhao Xuanhui Wang Michael Bendersky OOD 107 10 0 21 Dec 2022
Sliced Optimal Partial Transport Yikun Bai Bernhard Schmitzer Matthew Thorpe Soheil Kolouri OT 97 21 0 15 Dec 2022
Label Alignment Regularization for Distribution Shift Ehsan Imani Guojun Zhang Runjia Li Jun Luo Pascal Poupart Philip H. S. Torr Yangchen Pan 60 2 0 27 Nov 2022
Modeling Hierarchical Structural Distance for Unsupervised Domain Adaptation Yingxue Xu Guihua Wen Yang Hu Pei Yang OT 93 4 0 21 Nov 2022
Unbalanced Optimal Transport, from Theory to Numerics Thibault Séjourné Gabriel Peyré Franccois-Xavier Vialard OT 104 49 0 16 Nov 2022
Theoretical Guarantees for Domain Adaptation with Hierarchical Optimal Transport Mourad El Hamri Younès Bennani Issam Falih 63 1 0 24 Oct 2022
Transferring Knowledge via Neighborhood-Aware Optimal Transport for Low-Resource Hate Speech Detection Tulika Bose Irina Illina Dominique Fohr 60 0 0 17 Oct 2022
Attention Regularized Laplace Graph for Domain Adaptation Lingkun Luo Limin Chen Shiqiang Hu AI4CE 80 7 0 15 Oct 2022
InfoOT: Information Maximizing Optimal Transport Ching-Yao Chuang Stefanie Jegelka David Alvarez-Melis OT 112 12 0 06 Oct 2022
Leveraging unsupervised data and domain adaptation for deep regression in low-cost sensor calibration Swapnil Dey Vipul Arora S. Tripathi OOD 77 1 0 02 Oct 2022
Hierarchical Sliced Wasserstein Distance Khai Nguyen Zhaolin Ren Huy Nguyen Litu Rout T. Nguyen Nhat Ho 87 22 0 27 Sep 2022
Adversarial Bi-Regressor Network for Domain Adaptive Regression Haifeng Xia Peng Wang T. Koike-Akino Ye Wang P. Orlik Zhengming Ding 79 8 0 20 Sep 2022
Unsupervised Domain Adaptation for Extra Features in the Target Domain Using Optimal Transport Toshimitsu Aritake H. Hino OT 53 1 0 10 Sep 2022
On the Wasserstein median of probability measures Kisung You Dennis L. Shung 82 3 0 07 Sep 2022
Wasserstein Task Embedding for Measuring Task Similarities Xinran Liu Yikun Bai Yuzhe Lu Andrea Soltoggio Soheil Kolouri OT 90 25 0 24 Aug 2022
Information-Theoretic Equivalence of Entropic Multi-Marginal Optimal Transport: A Theory for Multi-Agent Communication Shuchan Wang OT 64 0 0 22 Aug 2022
Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives Xiaofeng Liu Chaehwa Yoo Fangxu Xing Hyejin Oh Xiaofeng Liu Je-Won Kang Jonghye Woo OOD 113 207 0 15 Aug 2022
Combating Label Distribution Shift for Active Domain Adaptation S. Hwang Sohyun Lee Sungyeon Kim Jungseul Ok Suha Kwak 70 20 0 13 Aug 2022