Auxiliary Batch Normalization

2000년 도입 · 논문 12편에서 사용

Auxiliary Batch Normalization is a type of regularization used in adversarial training schemes. The idea is that adversarial examples should have a separate batch normalization components to the clean examples, as they have different underlying statistics.