Small, labelled datasets in the presence of larger, unlabelled datasets pose challenges to data-hungry deep learning algorithms. Such scenarios are prevalent in healthcare where labelling is expensive, time-consuming, and requires expert medical professionals. To tackle this challenge, we propose a family of →