self-supervised learning

{
  "id": "MLC-T-CYB-003871",
  "term": "self-supervised learning",
  "field": "Cybersecurity",
  "definition": "A type of machine learning that relies on generating implicit labels from unstructured data rather than relying on explicit, human-created labels. Self-supervised learning tasks are constructed to allow the true labels to be automatically inferred from the training data (enabling the use of large-scale training data) and to require models to capture essential features or relationships within the data to solve them. For example, a common self-supervised learning task is providing a model with partial data with the task to accurately generate the remainder.",
  "references": [
    "NIST AI 100-2e2025",
    "NIST CSRC Glossary"
  ],
  "url": "https://mlchart.com/terminology/cybersecurity/self-supervised-learning/"
}