Empirische Inferenz
Conference Paper
2021
Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings
| Author(s): | Guo, Q. and Jin, Z. and Wang, Z. and Qiu, X. and Zhang, W. and Zhu, J. and Zhang, Z. and Wipf, D. |
| Book Title: | Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS) |
| Volume: | 130 |
| Pages: | 1828--1836 |
| Year: | 2021 |
| Month: | April |
| Series: | Proceedings of Machine Learning Research |
| Editors: | Arindam Banerjee and Kenji Fukumizu |
| Publisher: | PMLR |
| Bibtex Type: | Conference Paper (conference) |
| Event Name: | AISTATS 2021 |
| Event Place: | Virtual Conference |
| State: | Published |
| URL: | http://proceedings.mlr.press/v130/guo21b.html |
| Electronic Archiving: | grant_archive |
| Attachments: | |
BibTex
@conference{Guoetal21,
title = {Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings},
booktitle = {Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS)},
volume = {130},
pages = {1828--1836},
series = {Proceedings of Machine Learning Research},
editors = {Arindam Banerjee and Kenji Fukumizu},
publisher = {PMLR},
month = apr,
year = {2021},
slug = {guoetal21},
author = {Guo, Q. and Jin, Z. and Wang, Z. and Qiu, X. and Zhang, W. and Zhu, J. and Zhang, Z. and Wipf, D.},
url = {http://proceedings.mlr.press/v130/guo21b.html},
month_numeric = {4}
}