RabbitBoss/Awesome-Realistic-Semi-Supervised-Learning
An awesome paper list of Semi-Supervised Learning under realistic settings.
This is a curated list of research papers and associated code for Semi-Supervised Learning (SSL) techniques that work effectively in challenging, real-world scenarios. It helps researchers, machine learning engineers, and data scientists find solutions for problems where data is scarce, classes are imbalanced, or new, unseen data categories appear. The list provides direct links to academic papers and, where available, code implementations.
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Use this if you are a machine learning researcher or practitioner looking for state-of-the-art methods in semi-supervised learning that can handle complex, real-world data issues like imbalanced classes or novel data types.
Not ideal if you are looking for an introductory guide to machine learning or a plug-and-play software tool for immediate use.
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Nov 21, 2024
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