Interpretable Explanations of Black Boxes by Meaningful Perturbation

As machine learning algorithms are increasingly applied to high impact yet high risk tasks, such as medical diagnosis or autonomous driving, it is critical that researchers can explain how such algorithms arrived at their predictions. In recent years, a number of image saliency methods have been dev...

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Vydané v:	Proceedings / IEEE International Conference on Computer Vision s. 3449 - 3457
Hlavní autori:	Fong, Ruth C., Vedaldi, Andrea
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.10.2017
Predmet:	Backpropagation Gradient methods Machine learning algorithms Neural networks Perturbation methods Prediction algorithms Visualization
ISSN:	2380-7504
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