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Explaining the result for an image classification

Explaining the result for an image classification


Memory Wrap: a Data-Efficient and Interpretable Extension to Image Classification Models



... Due to their black-box .., deep learning techniques are not yet widely adopted ... for ... critical domains, like healthcare and justice.

... presents Memory Wrap, a plug-and-play extension to any image classification model.

... adopting a content-attention mechanism

... outperforms standard classifiers when it learns from a limited set of data ... comparable performance when it learns from the full dataset.

... get insights about its decision process.

... test ... on ... CIFAR10, SVHN, and CINIC10.


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