Progressive VAE Training on Highly Sparse and Imbalanced Data

Dmitry Utyamishev, Inna Partin-Vaisband

In this paper, we present a novel approach for training a Variational Autoencoder (VAE) on a highly imbalanced data set. The proposed training of a high-resolution VAE model begins…