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TOOL · CL_133094 · Jul 8 · 15:11

New theory explains semi-supervised learning efficiency via data augmentation

A new paper published on arXiv introduces a theoretical framework for understanding the efficiency of semi-supervised learning. The research proposes that data augmentation creates a similarity graph on unlabeled data, …