Learning Stable Representations with Full Encoder

no code implementations • 25 Mar 2021 • Zhouzheng Li, Kun Feng

While the beta-VAE family is aiming to find disentangled representations and acquire human-interpretable generative factors, like what an ICA (from the linear domain) does, we propose Full Encoder, a novel unified autoencoder framework as a correspondence to PCA in the non-linear domain.

Anomaly Detection Data Compression