Justin Gilmer

Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation

2019 · arXiv (Cornell University)

Deploying machine learning systems in the real world requires both high accuracy on clean data and robustness to naturally occurring corruptions. While architectural advances have led to improved accuracy, building robust models remains challenging. Prior …