Alexandre Ramé, Corentin Dancette, Matthieu Cord. Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization. In Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvári, Gang Niu 0001, Sivan Sabato, editors, International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA. Volume 162 of Proceedings of Machine Learning Research, pages 18347-18377, PMLR, 2022. [doi]
@inproceedings{RameDC22,
title = {Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization},
author = {Alexandre Ramé and Corentin Dancette and Matthieu Cord},
year = {2022},
url = {https://proceedings.mlr.press/v162/rame22a.html},
researchr = {https://researchr.org/publication/RameDC22},
cites = {0},
citedby = {0},
pages = {18347-18377},
booktitle = {International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA},
editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesvári and Gang Niu 0001 and Sivan Sabato},
volume = {162},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}