Select, Label, and Mix: Learning Discriminative Invariant Feature
Representations for Partial Domain Adaptation

Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation

6 December 2020

Abir Das

Papers citing "Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation"

6 / 6 papers shown

Title
Partial Distribution Matching via Partial Wasserstein Adversarial Networks Zi-Ming Wang Nan Xue Ling Lei Rebecka Jörnsten Gui-Song Xia OOD 67 0 0 16 Sep 2024
Adversarial Domain Adaptation with Domain Mixup Minghao Xu Jian Zhang Bingbing Ni Teng Li Chengjie Wang Qi Tian Wenjun Zhang 15 443 0 04 Dec 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 504 4,728 0 13 May 2019
CyCADA: Cycle-Consistent Adversarial Domain Adaptation Judy Hoffman Eric Tzeng Taesung Park Jun-Yan Zhu Phillip Isola Kate Saenko Alexei A. Efros Trevor Darrell 85 2,985 0 08 Nov 2017
Asymmetric Tri-training for Unsupervised Domain Adaptation Kuniaki Saito Yoshitaka Ushiku Tatsuya Harada 60 586 0 27 Feb 2017
Learning Transferable Features with Deep Adaptation Networks Mingsheng Long Yue Cao Jianmin Wang Michael I. Jordan OOD 155 5,163 0 10 Feb 2015