Distance from a softmax prediction to the mean softmax vector of correct examples can serve as a confidence score for flagging low-confidence and out-of-distribution predictions, based on MNIST and CIFAR-10 experiments.
Wiley, New York, NY, 2nd edn
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Explorations of the Softmax Space: Knowing When the Neural Network Doesn't Know
Distance from a softmax prediction to the mean softmax vector of correct examples can serve as a confidence score for flagging low-confidence and out-of-distribution predictions, based on MNIST and CIFAR-10 experiments.