galilai-group/shapes3d

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The declared licence (apache-2.0) is classified as permissive.

Declared licence: apache-2.0, from the tagEvidence: README.md at c12c339
Licence files: No licence file at the top level of the repositoryEvidence: file list at c12c339
Declared sources: None listed in the card metadata
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Citation text from the card

@InProceedings{pmlr-v80-kim18b,
  title = 	 {Disentangling by Factorising},
  author =       {Kim, Hyunjik and Mnih, Andriy},
  booktitle = 	 {Proceedings of the 35th International Conference on Machine Learning},
  pages = 	 {2649--2658},
  year = 	 {2018},
  editor = 	 {Dy, Jennifer and Krause, Andreas},
  volume = 	 {80},
  series = 	 {Proceedings of Machine Learning Research},
  month = 	 {10--15 Jul},
  publisher =    {PMLR},
  pdf = 	 {http://proceedings.mlr.press/v80/kim18b/kim18b.pdf},
  url = 	 {https://proceedings.mlr.press/v80/kim18b.html},
  abstract = 	 {We define and address the problem of unsupervised learning of disentangled representations on data generated from independent factors of variation. We propose FactorVAE, a method that disentangles by encouraging the distribution of representations to be factorial and hence independent across the dimensions. We show that it improves upon beta-VAE by providing a better trade-off between disentanglement and reconstruction quality and being more robust to the number of training iterations. Moreover, we highlight the problems of a commonly used disentanglement metric and introduce a new metric that does not suffer from them.}
}

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dataset_licence({ "id": "galilai-group/shapes3d" })
signal: "permissive"
stated_licence: "apache-2.0"
sources: 0