f7ac67a9aa8d255282de7d11391e1b69-AuthorFeedback.pdf

Inthemain6 objective, the program optimizes forΛ based on the supervised loss of the "validation" set. SSL typically uses an'unsupervised loss' to15 leverage unlabeled data. While the model may not generalize if the unsupervised loss is poorly designed, recent16 works [38, 36] empirically validate their proposed loss. Theoretical analysis of SSL has also been provided under17 various assumptions,e.g., [6, A]. Weencourage R1 to study these works which show how unsupervised losses aid18 generalization.