MixMatch: A Holistic Approach to Semi-Supervised Learning

June 2019


tl;dr: A method for unsupervised learning on image classification.

Overall impression

The results are very good, the model can achieve 11% error rate on CIFAR-10 with only 250 labels. Also the new hyper-parameter for mix-match can be fixed for different dataset.

Key ideas