Minibatch Discrimination

Minibatch Discrimination is a technique used in generative adversarial networks (GANs) to better differentiate between whole minibatches of samples instead of individual ones. This approach helps to prevent the 'collapse' of the generator, which can happen when the generator produces very similar outputs, minimizing the variance of the model. What is a GAN? Before we dive into what minibatch discrimination is, it is essential to understand what a generative adversarial network (GAN) is. A GAN