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.

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Google Unveils REMEDIS: A Self-Supervised Learning Approach for Robust and Enhanced Medical Imaging - CBIRT

How Self-Supervised Learning work in AI and ML research

Self-supervised learning for medical image classification: a systematic review and implementation guidelines

Self-Supervised Representation Learning

terminology - Is there any difference between distant supervision, self- training, self-supervised learning, and weak supervision? - Cross Validated

Exploring Self-Supervised Regularization for Supervised and Semi-Supervised Learning

Self-supervised Learning: A Succinct Review Archives of Computational Methods in Engineering

How to Reduce Training Data with Self-Supervised Learning — Picsellia