Abstract: We applied convolutional versions of a "standard" autoencoder (CAE), a variational autoencoder (VAE) and an adversarial autoencoder (AAE) to two different publicly available datasets and ...
Abstract: The Variational Autoencoder (VAE) is known to suffer from the phenomenon of posterior collapse, where the latent representations generated by the model become independent of the inputs. This ...
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