Overcoming the Disentanglement vs Reconstruction Trade-off via Jacobian Supervision

ICLR 2019 José Lezama

A major challenge in learning image representations is the disentangling of the factors of variation underlying the image formation. This is typically achieved with an autoencoder architecture where a subset of the latent variables is constrained to correspond to specific factors, and the rest of them are considered nuisance variables... (read more)

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