A theoretical framework for self-supervised contrastive learning for continuous dependent data

Alexander Marusov, Aleksandr Yugay, Alexey Zaytsev

Self-supervised learning (SSL) has emerged as a powerful approach to learning representations, particularly in the field of computer vision. However, its application to dependent d…