A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness

James Diffenderfer, Brian R. Bartoldson, Shreya Chaganti +2

Successful adoption of deep learning (DL) in the wild requires models to be: (1) compact, (2) accurate, and (3) robust to distributional shifts. Unfortunately, efforts towards simu…