2022
MEMO: Test Time Robustness via Adaptation and Augmentation
NeurIPS 2022accept
While deep neural networks can attain good accuracy on in-distribution test points, many applications require robustness even in the face of unexpected perturbations in the input, changes in the domain, or other sources of distribution shift. We study the problem of test time robustification, i.e.,…