755 citations · 2.7k across the 91 of their papers we have counts for
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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…
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…
Fast Single-Class Classification and the Principle of Logit Separation
Gil Keren, Sivan Sabato, Björn Schuller
We consider neural network training, in applications in which there are many possible classes, but at test-time, the task is a binary classification task of determining whether the…
Tunable Sensitivity to Large Errors in Neural Network Training
Gil Keren, Sivan Sabato, Björn Schuller
When humans learn a new concept, they might ignore examples that they cannot make sense of at first, and only later focus on such examples, when they are more useful for learning.…