Mubarakah Alotaibi

Enhancing self-supervised representation learning through lightweight learnable data augmentation

A lightweight learnable augmentation framework based on Extreme Learning Machines for self-supervised visual representation learning that improves linear evaluation performance relative to reproduced baselines across most settings and demonstrates that lightweight learnable augmentation can effectively enhance self-supervised representation learning across different frameworks and datasets.