This repository aggregates research papers and implementations focused on self-supervised learning, a paradigm where models learn representations from data without human-provided labels. The list organizes resources by domain, covering computer vision, natural language processing, reinforcement learning, robotics, speech recognition, graph structures, and time-series analysis. It serves as a comprehensive reference for researchers and practitioners exploring this machine learning approach.