arXiv (Cornell University)· 2022· Preprint
Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods
- 22citations
- 2022year
Short summary
A new framework unifies contrastive and non-contrastive self-supervised learning (SSL) methods, showing they correspond to spectral embedding techniques like Laplacian Eigenmaps and Multidimensional Scaling.
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