Learning Autoencoders with Relational Regularization

Hongteng Xu, Dixin Luo, Ricardo Henao +2

A new algorithmic framework is proposed for learning autoencoders of data distributions. We minimize the discrepancy between the model and target distributions, with a \emph{relati…