Semi-supervised Disentanglement with Independent Vector Variational Autoencoders

Bo-Kyeong Kim, Sungjin Park, Geonmin Kim +1

We aim to separate the generative factors of data into two latent vectors in a variational autoencoder. One vector captures class factors relevant to target classification tasks, w…