Deep Learning, Artificial Intelligence, Convolutional Network, Image Classification, Semi Supervised Learning.
alignment and the rotation loss from ReMixMatch, etc.). 3. Experimental Results 3.1. CIFAR, SVHN, & STL-10 Error rates for CIFAR-10, CIFAR-100, SVHN and STL-10 on 5 different folds WRN-28–2 with 1.5M parameters for CIFAR-10 and SVHN, WRN-28–8 for CIFAR-100, and WRN-37–2 for STL-10, are used.