Unsupervised Data Augmentationfor Consistency Training
Table 8: Ablation study for Training Signal Annealing (TSA) on Yelp-5 and CIFAR-10. The shown numbers are error rates.
['[BOLD] TSA schedule', 'Yelp-5']
More specifically, the best performance is achieved when we choose to postpone releasing the supervised training signal to the end of the training, i.e, exp-schedule leads to the best performance.