Con${}^2$DA: Simplifying Semi-supervised Domain Adaptation by Learning Consistent and Contrastive Feature Representations

Manuel Pérez-Carrasco, Pavlos Protopapas, Guillermo Cabrera-Vives

In this work, we present Con${}^2$DA, a simple framework that extends recent advances in semi-supervised learning to the semi-supervised domain adaptation (SSDA) problem. Our frame…