Self-supervised learning gets us closer to autonomous learning
▻https://hackernoon.com/self-supervised-learning-gets-us-closer-to-autonomous-learning-be77e6c86
Self-Supervised Learning is getting attention because it has the potential to solve a significant limitation of supervised machine learning, viz. requiring lots of external training samples or supervisory data consisting of inputs and corresponding outputs. Yann LeCun¹ recently in a Science and Future Magazine interview presented self-supervised learning as a significant challenge of AI for the next decade.Humans, for instance, can determine the semantic meaning of the word “orange” from context when it appears near “t-shirt,” “fridge,” “county,” or “mobile.” Similarly, in machine learning, the Word2Vec algorithm predicts the semantic context of a word based on surrounding words. The research behind self-supervised learning follows the same principle of automatically identifying, extracting and (...)
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