Theories, problems, methods on GAN.
notes on simple manifold learning ideas and methods.
Idea that's similar to my InfoBal model (also used adversarial training in InfoMin).
notes on unpublished work "DISENTANGLED REPRESENTATION LEARNING WITH INFORMATION MAXIMIZING AUTOENCODER".
paper notes on InfoGAN.
notes on NIPs-2010 paper "Discriminative Clustering by Regularized Information Maximization".
Implementing CNNs in pytorch. SimpleCNN, ResNet.
notes on NIPS-2019 paper "Information Competing Process for Learning Diversified Representations."
notes, plan, diary of my own InfoBal paper.
notes on paper "What Makes for Good Views for Contrastive Learning".