Deep Active Learning with a Neural Architecture Search
neural information processing systems, pp. 5974-5984, 2019.
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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