Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen 0003, Shuo Shao, Weinan Zhang 0001, Yong Yu 0001. Improving Unsupervised Domain Adaptation with Variational Information Bottleneck. In Giuseppe De Giacomo, Alejandro Catalá, Bistra Dilkina, Michela Milano, Senén Barro, Alberto Bugarín, Jérôme Lang, editors, ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020 - Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020). Volume 325 of Frontiers in Artificial Intelligence and Applications, pages 1499-1506, IOS Press, 2020. [doi]
@inproceedings{SongYCZSS0020,
title = {Improving Unsupervised Domain Adaptation with Variational Information Bottleneck},
author = {Yuxuan Song and Lantao Yu and Zhangjie Cao and Zhiming Zhou and Jian Shen 0003 and Shuo Shao and Weinan Zhang 0001 and Yong Yu 0001},
year = {2020},
doi = {10.3233/FAIA200257},
url = {https://doi.org/10.3233/FAIA200257},
researchr = {https://researchr.org/publication/SongYCZSS0020},
cites = {0},
citedby = {0},
pages = {1499-1506},
booktitle = {ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020 - Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020)},
editor = {Giuseppe De Giacomo and Alejandro Catalá and Bistra Dilkina and Michela Milano and Senén Barro and Alberto Bugarín and Jérôme Lang},
volume = {325},
series = {Frontiers in Artificial Intelligence and Applications},
publisher = {IOS Press},
isbn = {978-1-64368-101-6},
}