ICML 2019

Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations

ICML 2019 google-research/disentanglement_lib

The key idea behind the unsupervised learning of disentangled representations is that real-world data is generated by a few explanatory factors of variation which can be recovered by unsupervised learning algorithms.

REPRESENTATION LEARNING