Deep Learning, Artificial Intelligence, Semi Supervised Learning, Image Classification, Data Augmentation.
choosing so few labeled examples at random. On CIFAR-10, ReMixMatch obtains a median-of-five error rate of 15.08%. On SVHN ReMixMatch reaches 3.48% error. On SVHN with the “extra” dataset, ReMixMatch reaches 2.81% error. ReMixMatch is able to work in extremely low-label settings. 5.4. Ablation