A simple probabilistic deep generative model for learning generalizable disentangled representations from grouped data

7 Sep 2018Haruo Hosoya

The disentangling problem is to discover multiple complex factors of variations hidden in data. One recent approach is to take a dataset with grouping structure and separately estimate a factor common within a group (content) and a factor specific to each group member (transformation)... (read more)

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