Optimizing transformations for contrastive learning in a differentiable framework

Camille Ruppli, Pietro Gori, Roberto Ardon +1

Current contrastive learning methods use random transformations sampled from a large list of transformations, with fixed hyperparameters, to learn invariance from an unannotated da…