The Paradigm Shift of Self-Supervised Learning

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"If intelligence was a cake, unsupervised learning would be the cake, supervised learning would be the icing on the cake, and reinforcement learning would be the cherry on the cake. We know how to make the icing and the cherry, but we don't know how to make the cake." By 2016, Yann LeCun began to hedge with his use of the term "unsupervised learning". In NIPS 2016, he started to call it in even more nebulous terms "predictive learning": I have always had trouble with the use of the term "Unsupervised Learning". In 2017, I had predicted that Unsupervised Learning will not progress much and said "there seems to be a massive conceptual disconnect as to how exactly it should work" and that it was the "dark matter" of machine learning.

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