Self-supervised learning: Revision history

21 March 2023

• curprev 01:1501:15, 21 March 2023‎ Walle talk contribs‎ 4,348 bytes +4,348‎ Created page with "{{see also|Machine learning terms}} ==Introduction== Self-supervised learning (SSL) is a subfield of machine learning that focuses on learning representations of data in an unsupervised manner by exploiting the structure and inherent properties of the data itself. This approach has gained significant traction in recent years, as it enables algorithms to learn useful features from large volumes of unlabeled data, thereby reducing the reliance on labeled datasets. The lear..."