Minibatch Discrimination

2000년 도입 · 논문 5편에서 사용

Minibatch Discrimination is a discriminative technique for generative adversarial networks where we discriminate between whole minibatches of samples rather than between individual samples. This is intended to avoid collapse of the generator.

출처: Improved Techniques for Training GANs

소개 논문: Improved Techniques for Training GANs