supervised learning

Self-Supervised Learning?

Self-Supervised Learning (Self-Supervised Learning) is a new paradigm between unsupervised and supervised learning, which aims to reduce the challenging demand for large amounts of annotated data. It provides some kind of supervision signals for feature learning by defining annotation-free pretext tasks. The term self-supervised learning (SSL) has been used (sometimes differently) in different contexts and fields, such …

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