Understanding Deep Learning Algorithms that Leverage Unlabeled Data, Part 1: Self-training
We introduce the augmentation graph on the population data, a key concept which allows us to formalize the input consistency regularizer and motivates natural assumptions on the data distribution. In the rest of this blogpost, we’ll
GeneAka
