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ICLR 2020: Yann LeCun and Energy-Based Models
Machine Learning Street Talk (MLST)
Learning to Plan Complex Action Sequences
Self supervised learning is when a machine pretends not to know something. It can then train itself to predict the piece that it doesn't know from what it knows. For example, predicting missing pram tiks or missing s in the text. There is no single prediction that will be consistent with an initial segment of th video. Multiple future of the video ar possible. And one way to do this is to go throughso implissive function that mysically measures the compatibility between the rible we observe and the variable we need to predict.
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