This video explores Generative Adversarial Networks (GANs), conditional GANs, mode collapse issues, Minibatch discrimination, and strategies to prevent mode collapse. It also discusses Adversarial Autoencoders (AAE) in various learning contexts and their use in clustering.
Keywords: GAN, Conditional GAN, Mode Collapse, Minibatch Discrimination, Adversarial Autoencoder (AAE), Supervised AAE, Semi-Supervised AAE, Unsupervised AAE, AAE for Clustering.