Empirische Inferenz
Conference Paper
2022
Towards Principled Disentanglement for Domain Generalization
| Author(s): | Zhang, H. and Zhang, Y.-F. and Liu, W. and Weller, A. and Schölkopf, B. and Xing, E. |
| Book Title: | Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) |
| Pages: | 8024--8034 |
| Year: | 2022 |
| Month: | June |
| Bibtex Type: | Conference Paper (conference) |
| Event Place: | New Orleans, Louisiana |
| State: | Published |
| URL: | https://openaccess.thecvf.com/content/CVPR2022/papers/Zhang_Towards_Principled_Disentanglement_for_Domain_Generalization_CVPR_2022_paper.pdf |
| Electronic Archiving: | grant_archive |
| Supplement: | https://openaccess.thecvf.com/content/CVPR2022/supplemental/Zhang_Towards_Principled_Disentanglement_CVPR_2022_supplemental.pdf |
| Links: | |
BibTex
@conference{Zhangetal22b,
title = {Towards Principled Disentanglement for Domain Generalization},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
pages = {8024--8034},
month = jun,
year = {2022},
slug = {zhangetal22b},
author = {Zhang, H. and Zhang, Y.-F. and Liu, W. and Weller, A. and Sch{\"o}lkopf, B. and Xing, E.},
url = {https://openaccess.thecvf.com/content/CVPR2022/papers/Zhang_Towards_Principled_Disentanglement_for_Domain_Generalization_CVPR_2022_paper.pdf},
month_numeric = {6}
}