2.9k citations · 3.2k across the 12 of their papers we have counts for
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How Important Is a Neuron?
Kedar Dhamdhere, Mukund Sundararajan, Qiqi Yan
The problem of attributing a deep network's prediction to its \emph{input/base} features is well-studied. We introduce the notion of \emph{conductance} to extend the notion of attr…
Axiomatic Attribution for Deep Networks
Mukund Sundararajan, Ankur Taly, Qiqi Yan
We study the problem of attributing the prediction of a deep network to its input features, a problem previously studied by several other works. We identify two fundamental axioms-…
Gradients of Counterfactuals
Mukund Sundararajan, Ankur Taly, Qiqi 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 networ…