Deep Active Learning over the Long Tail
arXiv: Learning, Volume abs/1711.00941, 2017.
This paper is concerned with pool-based active learning for deep neural networks. Motivated by coreset dataset compression ideas, we present a novel active learning algorithm that queries consecutive points from the pool using farthest-first traversals in the space of neural activation over a representation layer. We show consistent and o...More
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