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The repository is a valuable resource for various aspects of Self-Supervised Learning, but I noticed that the theory section is somewhat outdated, with most references only covering papers up to 2020. Additionally, several major and impactful theoretical works are missing (example).

In this PR, I have added initial references to key theoretical papers published between 2021 and 2024, primarily from top-tier conferences. This update aims to ensure the repository reflects the latest advancements in Self-Supervised Learning theory. If you like it, I can prepare a part B on theory papers that I consider crucial for understanding SSL.

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