Deep Learning, Artificial Intelligence, Semi Supervised Learning, Data Augmentation, Image Classification.
6.24% with 4000 labels. SVHN (Right): MixMatch’s performance to be relatively constant (and better than all other methods) across all amounts of labeled data. CIFAR-10 and CIFAR-100 error rate In general, MixMatch matches or outperforms the best results from SWA [2]. Comparison of error rates for