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Self-Supervised Learning - What is the difference between self-supervised and unsupervised learning?


Both approaches use data without human-annotated labels to learn, but how they use that data is where the real distinction resides. When it comes to creating labels, self-supervised learning takes advantage of the data's underlying structure, whereas unsupervised learning seeks to uncover the same patterns or structures.