Self-Supervised Learning
Self-supervised learning offers a promising alternative to reinforcement learning, which often requires impractical amounts of training time. By enabling systems to predict and model dependencies within their inputs, this approach allows machines to understand complex relationships, such as the compatibility of different parts of an image or the continuity of a video. This capability suggests a deeper understanding of concepts like physics, as the system can identify unrealistic scenarios.In this clip
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The Gradient
Yann LeCun on his Start in Research and Self-Supervised Learning
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