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  • title: Active Learning Through a Covering Lens
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            Active Learning Through a Covering Lens
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            Active Learning Through a Covering Lens

            Nov 28, 2022

            Speakers

            OY

            Ofer Yehuda

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            AD

            Avihu Dekel

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            GH

            Guy Hacohen

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            About

            Deep active learning aims to reduce the annotation cost for deep neural networks, which are notoriously data-hungry. Until recently, deep active learning methods struggled in the low-budget regime, where only a small amount of samples are annotated. The situation has been alleviated by recent advances in self-supervised representation learning methods, which impart the geometry of the data representation with rich information about the points. Taking advantage of this progress, we study the prob…

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            NeurIPS 2022

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