Linking data separation, visual separation, and classifier performance using pseudo-labeling by contrastive learning

Bárbara Caroline Benato, Alexandre Xavier Falcão, Alexandru-Cristian Telea

Lacking supervised data is an issue while training deep neural networks (DNNs), mainly when considering medical and biological data where supervision is expensive. Recently, Embedd…