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 ...
College students are habituated to a classroom norm sociologists call civil attention: creating the appearance of paying attention (sitting still, looking awake, scribbling or typing) while ...
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