Semi-Supervised Learning via New Deep Network Inversion

Randall Balestriero, Vincent Roger, Herve G. Glotin +1

We exploit a recently derived inversion scheme for arbitrary deep neural networks to develop a new semi-supervised learning framework that applies to a wide range of systems and pr…