Machine Learning
Self-supervised Learning
A type of machine learning where the model learns from unlabeled data by generating its own labels.
Expanded definition
Self-supervised learning is an emerging paradigm in machine learning that minimizes the need for labeled data. In this approach, the model is trained using large amounts of unlabeled data, where it creates its own labels from the data's structure. This is particularly useful in domains like computer vision and natural language processing, where labeled data can be scarce or expensive to obtain.
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