Manifold-Matching Autoencoders: Embedding Data into Chosen Geometric Structures

Laurent Cheret, Vincent Létourneau, Isar Nejadgholi +3

Manipulating the structure of data in the latent space of an autoencoder is a long-standing goal of representation learning. We propose a simple regularization, Manifold Matching,…