Deep Active Learning with a Neural Architecture Search

Yonatan Geifman
Yonatan Geifman

neural information processing systems, pp. 5974-5984, 2019.

Cited by: 4|Bibtex|Views8
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

We consider active learning of deep neural networks. Most active learning works in this context have focused on studying effective querying mechanisms and assumed that an appropriate network architecture is a priori known for the problem at hand. We challenge this assumption and propose a novel active strategy whereby the learning algorit...More

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