To resolve the above issues, we change the batch size according to the variance of classifier's confidence on an un-annotated set.
we assign an integer to 1 and 2 in the first two iterations, and ( > 2) in the i th iteration is computed as below (Flexible Number): where is the confidence of the classifier on the un-annotated dataset at i th iteration.