Active learning represents a transformative paradigm in machine learning, aimed at reducing the annotation burden by selectively querying the most informative data points. This approach leverages ...

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 ...

Have you ever given a lecture to a group of adult learners? If so, you may have noticed their eyes losing focus and phones appearing as you moved through your session. This is because the traditional ...