Empirische Inferenz Conference Paper 2019

Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations

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Empirische Inferenz
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Empirische Inferenz
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Empirische Inferenz
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Author(s): Locatello, F. and Bauer, S. and Lucic, M. and Raetsch, G. and Gelly, S. and Schölkopf, B. and Bachem, O.
Links:
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
Project(s):
Bibtex Type: Conference Paper (conference)
Event Place: Long Beach, California, USA
State: Published
URL: http://proceedings.mlr.press/v97/locatello19a.html
Electronic Archiving: grant_archive

BibTex

@conference{Locatelloetal19,
  title = {Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations},
  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},
  slug = {locatelloetal19},
  author = {Locatello, F. and Bauer, S. and Lucic, M. and Raetsch, G. and Gelly, S. and Sch{\"o}lkopf, B. and Bachem, O.},
  url = {http://proceedings.mlr.press/v97/locatello19a.html},
  month_numeric = {6}
}