Gradients of Counterfactuals

8 Nov 2016Mukund SundararajanAnkur TalyQiqi Yan

Gradients have been used to quantify feature importance in machine learning models. Unfortunately, in nonlinear deep networks, not only individual neurons but also the whole network can saturate, and as a result an important input feature can have a tiny gradient... (read more)

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