Co-supervised learning paradigm with conditional generative adversarial networks for sample-efficient classification

Hao Zhen, Yucheng Shi, Jidong J. Yang +1

Classification using supervised learning requires annotating a large amount of classes-balanced data for model training and testing. This has practically limited the scope of appli…