755 citations · 2.7k across the 91 of their papers we have counts for
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stat.ML2018★ 1 cited
Calibrated Prediction Intervals for Neural Network Regressors
Gil Keren, Nicholas Cummins, Björn Schuller
Ongoing developments in neural network models are continually advancing the state of the art in terms of system accuracy. However, the predicted labels should not be regarded as th…
stat.ML2018★ 1 cited
Weakly Supervised One-Shot Detection with Attention Similarity Networks
Gil Keren, Maximilian Schmitt, Thomas Kehrenberg +1
Neural network models that are not conditioned on class identities were shown to facilitate knowledge transfer between classes and to be well-suited for one-shot learning tasks. Fo…