Self-supervised models generate implicit labels from unstructured data rather than relying on labeled datasets for supervisory signals. Self-supervised learning (SSL), a transformative subset of ...

Supervised learning is a machine learning approach in which algorithms are trained on labelled datasets—that is, data that already includes the correct outputs or classifications. The model learns to ...

Self-Supervised Learning (SSL) is revolutionizing AI by reducing the dependence on labeled data, particularly benefiting applications in resource-constrained environments. This PhD research focuses on ...