Self-supervised learning with pretext invariant representations
Introduction Recently, I have started to experiment with self-supervised learning techniques. In the last few months, we can see the rapid development of new methods. Moreover, self-supervised learning is reaching transfer learning performance.
Mar 8, 2020
4 min read
Learn probabilistic PCA first to better understand Variational Autoencoders
I prepare a presentation on Variational Autoencoders to my university colleagues. I think what can help them understand the topic better. I noticed that a derivation of the loss function can cause problems as it requires understanding and intuition of probabilistic concepts.
Feb 5, 2020
2 min read