some basic concepts on Convex Optimization.
Theories, problems, methods on GAN.
my idea of understanding CL in Manifold Learning.
notes on simple manifold learning ideas and methods.
notes on paper "Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere".
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notes on unpublished work "DISENTANGLED REPRESENTATION LEARNING WITH INFORMATION MAXIMIZING AUTOENCODER".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.
Practical Code Snippets of Matplotlib.
notes on NIPs-2010 paper "Discriminative Clustering by Regularized Information Maximization".