Learning Disentangled Representations with Wasserstein Auto-EncodersDownload PDF

Feb 12, 2018 (edited Jun 04, 2018)ICLR 2018 Workshop SubmissionReaders: Everyone
  • Keywords: wasserstein auto-encoders, WAE, disentanglement
  • TL;DR: We apply Wasserstein Auto-encoders to the problem of disentangled representation learning
  • Abstract: We apply Wasserstein auto-encoders (WAEs) to the problem of disentangled representation learning. We highlight the potential of WAEs with promising results on a benchmark disentanglement task.
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