What Is Self-Supervised Learning?

Self-supervised learning is a machine learning technique that uses unsupervised learning for tasks typical to supervised learning, without labeled data.

Enhancing diagnostic deep learning via self-supervised pretraining on large-scale, unlabeled non-medical images, European Radiology Experimental

Self-Supervised Machine Learning, Software and Tech

5 Types of Machine Learning Algorithms With Use Cases

The promise of self supervised learning

– Self-supervised learning and computer vision

GitHub - IndexFziQ/Self-Supervised-Learning-for-NLP: A research on self-supervised learning with the interest of applying it into NLP field.

What Is Self-Supervised Learning?

GML In-Depth: three forms of self-supervised learning

Self-Supervised Learning and Its Applications

What is self-supervised learning and when is it useful?

Part-2 Introduction to Self-Supervised Learning

Self-supervised learning methods and applications in medical imaging analysis: a survey [PeerJ]