2019
Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer
ICLR 2019poster
Autoencoders provide a powerful framework for learning compressed representations by encoding all of the information needed to reconstruct a data point in a latent code. In some cases, autoencoders can "interpolate": By decoding the convex combination of the latent codes for two datapoints, the auto…