This week’s term is Energy-Based Learning. Using this technique, you can predict what’s going to happen in the world. Which is one of the biggest problem in machine learning right now. It has been recently popularized by Yann LeCun and was shown in his ICLR2020 presentation. Ask any questions or remarks you have in the comments, I will gladly answer to everything!
What are GANs:
https://www.youtube.com/watch?v=ZnpZsiy_p2M
Introduction to Self-Supervised learning:
https://www.youtube.com/watch?v=lgVwtTof1ew
Yann LeCun explains energy-based learning:
https://www.youtube.com/watch?v=SaJL4SLfrcY
Energy Based Models paper:
http://yann.lecun.com/exdb/publis/pdf/lecun-06.pdf
StarCraft: AlphaStar 200 years of equivalent real-time play:
https://deepmind.com/blog/article/alphastar-mastering-real-time-strategy-game-starcraft-ii
K-means:
https://towardsdatascience.com/understanding-k-means-clustering-in-machine-learning-6a6e67336aa1
PCA:
https://towardsdatascience.com/a-one-stop-shop-for-principal-component-analysis-5582fb7e0a9c
GMM:
https://www.stata.com/meeting/germany10/germany10_drukker.pdf
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