yassouali/awesome-semi-supervised-learning

Organizes papers across domain-specific categories (computer vision, NLP, generative models, graph-based methods, theory) with direct links to PDFs and implementations, enabling researchers to navigate SSL literature by application area and methodology. Includes foundational resources like survey papers, textbooks, and recorded talks alongside contemporary deep learning adaptations of classical SSL techniques such as consistency regularization and pseudo-labeling. Actively maintained with community contributions following a standardized markdown format for adding new papers and codebases.

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