Nearest-neighbor class changes and entropy across network layers provide a post-hoc uncertainty score that outperforms softmax confidence on CIFAR-10 and partly on MNIST.
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Pattern Recognition35(10), 2279–2301 (2002).https://doi
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A Framework for Uncertainty Quantification Based on Nearest Neighbors Across Layers
Nearest-neighbor class changes and entropy across network layers provide a post-hoc uncertainty score that outperforms softmax confidence on CIFAR-10 and partly on MNIST.