Introduction to Self-Supervised Learning (SSL).
Published in
8 min readAug 21, 2023
The dark matter of Intelligence according to Yann LeCun.
Self-Supervised Learning (SSL) is an innovative deep learning paradigm that is not dependent on human labeled datasets in order to learn concepts. This is important, because in supervised learning, labelling datasets comes with several drawbacks, such as limited scalability. Self-supervised learning is therefore a promising solution for making use of large amounts of data, such as images, text data, raw audio signals or EEG brain signals.
