Adversarial Training
Sebastian Burst
In the past two years, machine learning, particularly neural computer vision and NLP, have seen a
tremendous rise in popularity of all things adversarial. In this blog post I will give an overview of the two most
popular training methods that are commonly referred to as adversarial: Injecting adversarial examples (1) and min-max
optimization (2). After showcasing how they are applied in NLP I will compare them and examine ways to combine them
(3).
