Deep Learning, Artificial Intelligence, Semi Supervised Learning, Image Classification, Data Augmentation.
Study Ablation study Removing the rotation loss reduces accuracy at 250 labels by only 0.14 percentage points, but it is found that in the 40-label setting, rotation loss is necessary to prevent collapse. Changing the cross-entropy loss on unlabeled data to an L2 loss as used in MixMatch hurts