Sean Metzger

SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning

A common practice in unsupervised representation learning is to use labeled data to evaluate the quality of the learned representations. This supervised evaluation is then used to guide critical aspects of the training process such as selecting the data augmentation policy. However, guiding an unsup…