Skip to main content
  1. Glossary/
  2. S/

Self-Supervised Learning

31 words·1 min
Table of Contents

Definition
#

Models learn by predicting missing parts of input data.

Key Characteristics
#

  • No manual labeling
  • Pre-training for downstream tasks
  • Common in NLP

Examples
#

  • BERT (language models)
  • Contrastive Learning