most citedUnderstanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution

31 citations · 31 across the 1 of their papers we have counts for

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cs.CV2020★ 31 cited

Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution

Gary S. W. Goh, Sebastian Lapuschkin, Leander Weber +2

Integrated Gradients as an attribution method for deep neural network models offers simple implementability. However, it suffers from noisiness of explanations which affects the ea…