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.
hub
Title resolution pending
1 Pith paper cite this work, alongside 3,011 external citations. Polarity classification is still indexing.
1
Pith paper citing it
3,011
external citations · OpenAlex
hub tools
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
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.