Deep Learning, Artificial Intelligence, Semi Supervised Learning, Image Classification, Data Augmentation.
STL-10 STL-10 error rate using 1000-label splits Using the same WRN-37–2 network (23.8 million parameters), the error rate is reduced by a factor of two compared to MixMatch. 5.3. Towards Few-Shot Learning Sorted error rate of ReMixMatch with 40 labeled examples High variance is to be expected when