Contrastive Variational Autoencoder Enhances Salient Features

12 Feb 2019 Abubakar Abid James Zou

Variational autoencoders are powerful algorithms for identifying dominant latent structure in a single dataset. In many applications, however, we are interested in modeling latent structure and variation that are enriched in a target dataset compared to some background---e.g. enriched in patients compared to the general population... (read more)

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