176 citations · 394 across the 16 of their papers we have counts for
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cs.LG2017★ 87 cited
Deep Active Learning over the Long Tail
Yonatan Geifman, Ran El-Yaniv
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…
cs.LG2017★ 176 cited
Selective Classification for Deep Neural Networks
Yonatan Geifman, Ran El-Yaniv
Selective classification techniques (also known as reject option) have not yet been considered in the context of deep neural networks (DNNs). These techniques can potentially signi…
cs.LG2017★ 3 cited
The Prediction Advantage: A Universally Meaningful Performance Measure for Classification and Regression
Ran El-Yaniv, Yonatan Geifman, Yair Wiener
We introduce the Prediction Advantage (PA), a novel performance measure for prediction functions under any loss function (e.g., classification or regression). The PA is defined as…