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Published Mar 5, 2018

Learning Active Learning from Data with Ksenia Konyushkova - #116

Ksenia Konyushkova, a Ph.D. student at Ecole Polytechnique Federale de Lausanne, shares cutting-edge active learning techniques to streamline machine learning by optimizing data selection and reducing annotation efforts, specifically in complex imaging tasks. The episode explores innovative methodologies, including bounding box annotation, to balance manual and machine-generated inputs for improved efficiency and accuracy in dataset labeling.
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