Explaining deep convolutional models by measuring the influence of interpretable features in image classification
A novel explainability technique to explain the predictions of Convolutional Neural networks (CNNs) for image classification.
Feb 10, 2023
Trusting deep learning natural-language models via local and global explanations
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Sep 1, 2015
An example journal article
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Sep 1, 2015