4c2e5eaae9152079b9e95845750bb9ab-AuthorFeedback.pdf

The main purpose of learningg with a semi-supervised14 loss is to verify our InfoMin hypothesis. In theory, it is possible thatg makes pre-trained models perform better on15 tasks similar tothesupervised taskusedtotraing,butworseonlesssimilar tasks.