STEM: An approach to Multi-source Domain Adaptation with Guarantees-Reference-Cited by-同舟云学术

STEM: An approach to Multi-source Domain Adaptation with Guarantees

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE/CVF International Conference on Computer Vision (ICCV)
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Author:

Nguyen Van-Anh¹,Nguyen Tuan²,Le Trung²,Tran Quan Hung³,Phung Dinh²

Affiliation:

1. VNU - University of Science,Vietnam

2. Monash University,Department of Data Science and AI,Australia

3. Adobe Research,San Jose,CA,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9709627/9709628/09710062.pdf?arnumber=9710062

Reference71 articles.

1. Multi-Source Distilling Domain Adaptation

2. Adversarial multiple source domain adaptation;zhao;Advances in neural information processing systems,2018

3. Reading digits in natural images with unsupervised feature learning;netzer;NIPS 2011 Workshop on Deep Learning and Unsupervised Feature Learning,2011

4. When does label smoothing help?;müller;Advances in neural information processing systems,2019

5. Conditional adversarial domain adaptation;long;Advances in neural information processing systems,2018

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