Adversarial Label Learning: Training a Predictive Network with a Label-based Adversary
Failed ideas, Pakistan, Lahore
The idea was born out of my fascination with Generative Adversarial Networks (GANs). The concept of two networks locked in a competitive dance—a Generator creating fakes and a Discriminator spotting them—was revolutionary. It transformed what we could do with AI-generated art, music, and more. But I wondered: could this adversarial dynamic be used for something other than generating data?