Self-Supervised Learning
Learning representations from unlabeled data by creating supervised tasks from the data itself (masked prediction, contrastive learning).
Related Concepts
- Unsupervised Learning: Explore how Unsupervised Learning relates to Self-Supervised Learning
- Pre-training: Explore how Pre-training relates to Self-Supervised Learning
- Contrastive Learning: Explore how Contrastive Learning relates to Self-Supervised Learning
Why It Matters
Understanding Self-Supervised Learning is crucial for anyone working with advanced concepts. This concept helps build a foundation for more advanced topics in AI and machine learning.
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This term is part of the comprehensive AI/ML glossary. Explore related terms to deepen your understanding of this interconnected field.
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Related Terms
Contrastive Learning
A self-supervised learning approach that learns representations by contrasting similar and dissimilar examples.
Pre-training
Training a model on a large dataset (often self-supervised) before fine-tuning on specific tasks, enabling transfer learning.
Unsupervised Learning
Learning from unlabeled data to discover hidden patterns, structures, or relationships without explicit target outputs.