Tianbao Song

Scale-VAE: Preventing Posterior Collapse in Variational Autoencoder

Variational autoencoder (VAE) is a widely used generative model that gains great popularity for its capability in density estimation and representation learning. However, when employing a strong autoregressive generation network, VAE tends to converge to a degenerate local optimum known as posterior…