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Philip Haeusser

2 accepted papers

2017

Learning by Association -- A Versatile Semi-Supervised Training Method for Neural Networks

CVPR 2017poster

In many real-world scenarios, labeled data for a specific machine learning task is costly to obtain. Semi-supervised training methods make use of abundantly available unlabeled data and a smaller number of labeled examples. We propose a new framework for semi-supervised training of deep neural netwo…

Cited by 153PDFScholar