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2 results for “self-supervised”
Foundations
Contrastive Learning
Contrastive learning is a self-supervised machine learning paradigm that trains models to produce similar representations for related data pairs and dissimilar representations for unrelated pairs, enabling powerful feature learning without labelled data.
6 min readUpdated June 2026
Foundations
Self-Supervised Learning
A machine learning training paradigm in which a model generates its own supervisory signal from unlabelled data by solving pretext tasks, learning rich representations without human-annotated labels.
6 min readUpdated June 2026