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.

The complete guide to self-supervised learning

Self-supervised contrastive learning with NNCLR

Part-2 Introduction to Self-Supervised Learning

Self-Supervised Learning and Its Applications

Meta AI Releases Data2vec 2.0: An Efficient Self-Supervised Learning For Machine Learning Tasks - MarkTechPost

Boost your model's accuracy using self-supervised learning with TensorFlow Similarity — The TensorFlow Blog

What Is Self-Supervised Learning?

Self-Supervised Representation Learning

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

Self-Supervised Learning (SSL) - GeeksforGeeks

Self-supervised, semi-supervised, and multi-view learning // van der Schaar Lab

Self Supervised Learning in Computer Vision · Deep Learning

Self-supervised Learning. I have been exploring self-supervised…, by Prabin Nepal, Analytics Vidhya

Self-Supervised Learning and Transformers? — DINO Paper Explained – Towards AI

What is Self Supervised Learning?