Balancing Robustness and Sensitivity using Feature Contrastive Learning

Seungyeon Kim, Daniel Glasner, Srikumar Ramalingam +3

It is generally believed that robust training of extremely large networks is critical to their success in real-world applications. However, when taken to the extreme, methods that…