LocalDisentanglementinVariationalAuto-Encoders UsingJacobianL1Regularization

Neural Information Processing Systems 

Variational Auto-Encoders (VAEs) and their extensions such asβ-VAEs have been shown to improve local alignment of latent variables with PCA directions, which can help to improve model disentanglement under some conditions.

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