Empirical Inference

Self-supervised learning with data augmentations provably isolates content from style

2021

Conference Paper

ei

Author(s): von Kügelgen*, J. and Sharma*, Y. and Gresele*, L. and Brendel, W. and Schölkopf, B. and Besserve, M. and Locatello, F.
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.
Department(s): Empirical Inference
Research Project(s): Causal Representation Learning
Bibtex Type: Conference Paper (conference)
Event Name: 35th Annual Conference on Neural Information Processing Systems
Event Place: Virtual Conference
Note: *equal contribution
State: Published
URL: https://proceedings.neurips.cc/paper/2021/file/8929c70f8d710e412d38da624b21c3c8-Paper.pdf
Links: arXiv

BibTex 

@conference{Kugelenetal21,
  title = {Self-supervised learning with data augmentations provably isolates content from style},
  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.},
  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},
  doi = {},
  url = {https://proceedings.neurips.cc/paper/2021/file/8929c70f8d710e412d38da624b21c3c8-Paper.pdf},
  month_numeric = {12}
}