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Joint Distribution Optimal Transportation for Domain Adaptation

24 May 2017

Papers citing "Joint Distribution Optimal Transportation for Domain Adaptation"

40 / 290 papers shown

Title
PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation Can Qin Haoxuan You Lichen Wang C.-C. Jay Kuo Y. Fu 3DPC 77 200 0 07 Nov 2019
The Role of Embedding Complexity in Domain-invariant Representations Ching-Yao Chuang Antonio Torralba Stefanie Jegelka 24 1 0 13 Oct 2019
Wasserstein-2 Generative Networks Alexander Korotin Vage Egiazarian Arip Asadulaev Alexander Safin Evgeny Burnaev GAN 252 109 0 28 Sep 2019
Hidden Covariate Shift: A Minimal Assumption For Domain Adaptation Victor Bouvier P. Very C´eline Hudelot C. Chastagnol 30 7 0 29 Jul 2019
Multi-Purposing Domain Adaptation Discriminators for Pseudo Labeling Confidence Garrett Wilson D. Cook 48 1 0 17 Jul 2019
Hierarchical Optimal Transport for Multimodal Distribution Alignment John Lee M. Dabagia Eva L. Dyer Christopher Rozell OT 78 67 0 27 Jun 2019
Adaptation Across Extreme Variations using Unlabeled Domain Bridges Shuyang Dai Kihyuk Sohn Yi-Hsuan Tsai Lawrence Carin Manmohan Chandraker 74 12 0 05 Jun 2019
Interior-Point Methods Strike Back: Solving the Wasserstein Barycenter Problem Dongdong Ge Haoyue Wang Zikai Xiong Yinyu Ye 72 28 0 30 May 2019
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows Aditya Grover Christopher Chute Rui Shu Zhangjie Cao Stefano Ermon OOD DRL 53 67 0 30 May 2019
Solving graph compression via optimal transport Vikas Garg Tommi Jaakkola OT 67 16 0 29 May 2019
Concentration bounds for linear Monge mapping estimation and optimal transport domain adaptation Rémi Flamary Karim Lounici A. Ferrari 73 24 0 24 May 2019
Subspace Detours: Building Transport Plans that are Optimal on Subspace Projections Boris Muzellec Marco Cuturi OT 73 31 0 24 May 2019
Geometric Losses for Distributional Learning A. Mensch Mathieu Blondel Gabriel Peyré 143 16 0 15 May 2019
Minimax estimation of smooth optimal transport maps Jan-Christian Hütter Philippe Rigollet OT 71 28 0 14 May 2019
On Scalable and Efficient Computation of Large Scale Optimal Transport Yujia Xie Minshuo Chen Haoming Jiang T. Zhao H. Zha OT 109 44 0 01 May 2019
Bridging Theory and Algorithm for Domain Adaptation Yuchen Zhang Tianle Liu Mingsheng Long Michael I. Jordan 104 713 0 11 Apr 2019
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation Chen-Yu Lee Tanmay Batra M. H. Baig Daniel Ulbricht 185 543 0 10 Mar 2019
Support and Invertibility in Domain-Invariant Representations Fredrik D. Johansson David Sontag Rajesh Ranganath 87 164 0 08 Mar 2019
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach Minyoung Kim Pritish Sahu Behnam Gholami Vladimir Pavlovic OOD 70 47 0 23 Feb 2019
2-Wasserstein Approximation via Restricted Convex Potentials with Application to Improved Training for GANs Amirhossein Taghvaei Amin Jalali 81 44 0 19 Feb 2019
Domain Discrepancy Measure for Complex Models in Unsupervised Domain Adaptation Jongyeong Lee Nontawat Charoenphakdee Seiichi Kuroki Masashi Sugiyama 73 11 0 30 Jan 2019
On Learning Invariant Representation for Domain Adaptation Haiying Zhao Rémi Tachet des Combes Kun Zhang Geoffrey J. Gordon OOD 87 157 0 27 Jan 2019
A review of domain adaptation without target labels Wouter M. Kouw Marco Loog OOD VLM 72 491 0 16 Jan 2019
A General Approach to Domain Adaptation with Applications in Astronomy R. Vilalta K. D. Gupta Dainis Boumber Mikhail M. Meskhi OOD 26 10 0 20 Dec 2018
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete Demonstrations of Algorithmic Effectiveness in the Machine Learning and Artificial Intelligence Literature Franz J. Király Bilal A. Mateen R. Sonabend 102 10 0 18 Dec 2018
A Survey of Unsupervised Deep Domain Adaptation Garrett Wilson D. Cook OOD 195 824 0 06 Dec 2018
Regularized Wasserstein Means for Aligning Distributional Data Liang Mi Wen Zhang Yalin Wang OOD 25 7 0 02 Dec 2018
On Geometric Alignment in Low Doubling Dimension Hu Ding Mingquan Ye 14 2 0 19 Nov 2018
An Entropic Optimal Transport Loss for Learning Deep Neural Networks under Label Noise in Remote Sensing Images B. Damodaran Rémi Flamary Vivien Seguy Nicolas Courty NoLa 70 40 0 02 Oct 2018
Unsupervised Domain Adaptation Based on Source-guided Discrepancy Seiichi Kuroki Nontawat Charoenphakdee Han Bao Junya Honda Issei Sato Masashi Sugiyama 85 58 0 11 Sep 2018
Small Sample Learning in Big Data Era Jun Shu Zongben Xu Deyu Meng 104 72 0 14 Aug 2018
Towards Optimal Transport with Global Invariances David Alvarez-Melis Stefanie Jegelka Tommi Jaakkola OT 83 71 0 25 Jun 2018
Variational Wasserstein Clustering Liang Mi Wen Zhang X. Gu Yalin Wang OT 117 43 0 23 Jun 2018
Unsupervised Domain Adaptation with Adversarial Residual Transform Networks Guanyu Cai Yuqin Wang Mengchu Zhou Lianghua He GAN 39 89 0 25 Apr 2018
Causal Generative Domain Adaptation Networks Biwei Huang Kun Zhang Erdun Gao Clark Glymour Dacheng Tao Kayhan Batmanghelich CML OOD TTA 88 21 0 12 Apr 2018
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation B. Damodaran B. Kellenberger Rémi Flamary D. Tuia Nicolas Courty OT OOD 91 468 0 27 Mar 2018
Optimal Transport for Multi-source Domain Adaptation under Target Shift I. Redko Nicolas Courty Rémi Flamary D. Tuia OOD 57 143 0 13 Mar 2018
Computational Optimal Transport Gabriel Peyré Marco Cuturi OT 325 2,169 0 01 Mar 2018
Large-Scale Optimal Transport and Mapping Estimation Vivien Seguy B. Damodaran Rémi Flamary Nicolas Courty Antoine Rolet Mathieu Blondel OT 98 249 0 07 Nov 2017
Ivanov-Regularised Least-Squares Estimators over Large RKHSs and Their Interpolation Spaces Stephen Page Steffen Grunewalder 57 11 0 12 Jun 2017