Contrastive learning is a framework for learning relative similarity between samples in a distribution. Contrastive learning frameworks can be both supervised (leveraging human annotations) and self-supervised (no human annotations). …

If you are interested in making some digital mnemonics yourself checkout www.memaid.me — the simple tool I created to do this. Many of us are striving to learn more and read more, how many popular science books did you read or listen to last year? Chances are quite a few…

“If intelligence is a cake, the bulk of the cake is self-supervised learning, the icing on the cake is supervised learning, and the cherry on the cake is reinforcement learning (RL).” — Yann LeCun head of Facebook AI If you want to see an easy example of self-supervised learning, with…