Self-Supervised Learning (selbstüberwachtes Lernen)

Also known as: Self supervised Learning

Caesar AI Atlas Definition

Self-Supervised Learning ist ein Machine-Learning-Ansatz, der Trainingssignale aus unbeschrifteten Daten selbst erzeugt. Er wandelt Aspekte eines unüberwachten Problems in überwachtes Lernen um, indem Ersatzlabels generiert werden, was nützlich ist, wenn beschriftete Daten knapp, aber unbeschriftete Daten reichlich vorhanden sind.

Other Definitions

Self-Supervised Learning (selbstüberwachtes Lernen) Source

A family of techniques for converting an unsupervised machine learning problem into a supervised machine learning problem by creating surrogate labels from unlabeled examples. Some Transformer-based models such as BERT use self-supervised learning. Self-supervised training is a semi-supervised learning approach.

Also Referenced In

expert.ai — Glossary of AI Terms

Concept Comparisons

Technical AlternativeMachine Learning

Self-supervised Learning vs Semi-Supervised Learning

A side-by-side comparison of Self-supervised Learning and Semi-Supervised Learning. Understand how each uses unlabeled data and why the role of labels differs.