Learning Latent Subspaces in Variational Autoencoders

Jack Klys, Jake Snell, Richard Zemel

Neural Information Processing Systems 

Such representations are often difficult to interpret or control. We consider the problem of unsupervised learning of features correlated to specific labels in a dataset.

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