A robustness measure based on the spread of test losses across independently trained instances, plus a pruning algorithm, selects stable small CNNs for calorimeter energy and position reconstruction.
Speeding up the hyperparameter optimization of deep convolutional neural networks
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Approach to Finding a Robust Deep Learning Model
A robustness measure based on the spread of test losses across independently trained instances, plus a pruning algorithm, selects stable small CNNs for calorimeter energy and position reconstruction.