Self-Supervised Learning Surge
Exciting advancements in self-supervised learning are reshaping the landscape of AI, particularly in vision and speech recognition. While self-supervised methods haven't yet surpassed supervised learning in image recognition due to the abundance of labeled datasets, they are proving transformative in areas like speech, where minimal labeled data is required. The future points towards a world where machines learn from observing the environment, hinting at a broader adoption of self-supervised techniques across all domains of AI.In this clip
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The Gradient
Yann LeCun on his Start in Research and Self-Supervised Learning
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