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 ...
Matthew R. Tobin ’27, a Crimson Editorial editor, is a double concentrator in Government and Economics in Winthrop House. Falling asleep in lecture? You aren’t alone. According to a report by the ...
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 ...
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