Improving Unsupervised Domain Adaptation with Variational Information Bottleneck.

Y Song, L Yu, Z Cao, Z Zhou, J Shen, S Shao, W Zhang… - 2020 - ebooks.iospress.nl
Domain adaptation aims to leverage the supervision signal of source domain to obtain an
accurate model for target domain, where the labels are not available. To leverage and adapt …
被引用次数：18 相关文章

Improving Unsupervised Domain Adaptation with Variational Information Bottleneck

Y Song, L Yu, Z Cao, Z Zhou, J Shen, S Shao… - arXiv e …, 2019 - ui.adsabs.harvard.edu
Abstract Domain adaptation aims to leverage the supervision signal of source domain to
obtain an accurate model for target domain, where the labels are not available. To leverage …

Improving Unsupervised Domain Adaptation with Variational Information Bottleneck

Y Song, L Yu, Z Cao, Z Zhou, J Shen, S Shao… - arXiv preprint arXiv …, 2019 - arxiv.org
Domain adaptation aims to leverage the supervision signal of source domain to obtain an
accurate model for target domain, where the labels are not available. To leverage and adapt …
[PDF] ecai2020.eu

[PDF][PDF] Improving Unsupervised Domain Adaptation with Variational Information Bottleneck

Y Song, L Yu, Z Cao, Z Zhou, J Shen, S Shao, W Zhang… - ecai2020.eu
Domain adaptation aims to leverage the supervision signal of source domain to obtain an
accurate model for target domain, where the labels are not available. To leverage and adapt …
[PDF] ecai2020.eu

[PDF][PDF] Improving Unsupervised Domain Adaptation with Variational Information Bottleneck

Y Song, L Yu, Z Cao, Z Zhou, J Shen, S Shao, W Zhang… - ecai2020.eu
Domain adaptation aims to leverage the supervision signal of source domain to obtain an
accurate model for target domain, where the labels are not available. To leverage and adapt …