AMP
Adversarial Model Perturbation
Based on the understanding that the flat local minima of the empirical risk cause the model to generalize better. Adversarial Model Perturbation (AMP) improves generalization via minimizing the **AMP loss**, which is obtained from the empirical risk by applying the **worst** norm-bounded perturbation on each point in the parameter space.
Regularizing Neural Networks via Adversarial Model Perturbation
https://paperswithcode.com/paper/regularizing-neural-networks-via-adversarial
Regularizing Neural Networks via Adversarial Model Perturbation