DAFT: Distilling Adversarially Fine-tuned Models for Better OOD Generalization

Anshul Nasery, Sravanti Addepalli, Praneeth Netrapalli +1

We consider the problem of OOD generalization, where the goal is to train a model that performs well on test distributions that are different from the training distribution. Deep l…