Empirical Inference
Conference Paper
2021
Self-supervised learning with data augmentations provably isolates content from style
arXiv
Empirical Inference
| Author(s): | von Kügelgen*, J. and Sharma*, Y. and Gresele*, L. and Brendel, W. and Schölkopf, B. and Besserve, M. and Locatello, F. |
| Links: | |
| Book Title: | Advances in Neural Information Processing Systems 34 (NeurIPS 2021) |
| Pages: | 16451--16467 |
| Year: | 2021 |
| Month: | December |
| Editors: | M. Ranzato and A. Beygelzimer and Y. Dauphin and P.S. Liang and J. Wortman Vaughan |
| Publisher: | Curran Associates, Inc. |
| Project(s): | |
| BibTeX Type: | Conference Paper (conference) |
| Event Name: | 35th Annual Conference on Neural Information Processing Systems |
| Event Place: | Virtual Conference |
| State: | Published |
| URL: | https://proceedings.neurips.cc/paper/2021/file/8929c70f8d710e412d38da624b21c3c8-Paper.pdf |
| Electronic Archiving: | grant_archive |
| Note: | *equal contribution |
BibTeX
@conference{Kugelenetal21,
title = {Self-supervised learning with data augmentations provably isolates content from style},
booktitle = {Advances in Neural Information Processing Systems 34 (NeurIPS 2021)},
pages = {16451--16467},
editors = {M. Ranzato and A. Beygelzimer and Y. Dauphin and P.S. Liang and J. Wortman Vaughan},
publisher = {Curran Associates, Inc.},
month = dec,
year = {2021},
note = {*equal contribution},
author = {von K{\"u}gelgen*, J. and Sharma*, Y. and Gresele*, L. and Brendel, W. and Sch{\"o}lkopf, B. and Besserve, M. and Locatello, F.},
url = {https://proceedings.neurips.cc/paper/2021/file/8929c70f8d710e412d38da624b21c3c8-Paper.pdf},
month_numeric = {12}
}