Empirical Inference

Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations

2019

Conference Paper

ei


Author(s): Locatello, F. and Bauer, S. and Lucic, M. and Raetsch, G. and Gelly, S. and Schölkopf, B. and Bachem, O.
Book Title: Proceedings of the 36th International Conference on Machine Learning (ICML)
Volume: 97
Pages: 4114--4124
Year: 2019
Month: June

Series: Proceedings of Machine Learning Research
Editors: Chaudhuri, Kamalika and Salakhutdinov, Ruslan
Publisher: PMLR

Department(s): Empirical Inference
Research Project(s): Neural Nets
Causal Representation Learning
Bibtex Type: Conference Paper (conference)

Event Place: Long Beach, California, USA

State: Published
URL: http://proceedings.mlr.press/v97/locatello19a.html

Links: PDF

BibTex

@conference{Locatelloetal19,
  title = {Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations},
  author = {Locatello, F. and Bauer, S. and Lucic, M. and Raetsch, G. and Gelly, S. and Sch{\"o}lkopf, B. and Bachem, O.},
  booktitle = {Proceedings of the 36th International Conference on Machine Learning (ICML)},
  volume = {97},
  pages = {4114--4124},
  series = {Proceedings of Machine Learning Research},
  editors = {Chaudhuri, Kamalika and Salakhutdinov, Ruslan},
  publisher = {PMLR},
  month = jun,
  year = {2019},
  doi = {},
  url = {http://proceedings.mlr.press/v97/locatello19a.html},
  month_numeric = {6}
}