We have a series of data and we want to label the parts of each series. As we do not have any training data, we could try to use active learning as a solution, but the problem is that our classifier is something like RNN which needs a lot of data to be trained. Hence, we have a problem in converging fast to just label proportional small parts of unlabeled data.
Is there any article about this problem (active learning and some complex classifiers, like RNN)?
Is there any good solution to this problem or not? (as data is a series of actions)