A Chinese research team wrote a review article on deep active learning, an increasingly popular method of combining active learning with deep learning for sample selection in the training of neural ...
Active learning for multi-label classification addresses the challenge of labelling data in situations where each instance may belong to several overlapping categories. This paradigm aims to enhance ...