Search Results for author: Qiqi Yan

Found 5 papers, 2 papers with code

Gradients of Counterfactuals

no code implementations8 Nov 2016 Mukund Sundararajan, Ankur Taly, Qiqi Yan

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.

counterfactual Feature Importance +2

Axiomatic Attribution for Deep Networks

32 code implementations ICML 2017 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.

Explainable artificial intelligence Interpretable Machine Learning

How Important Is a Neuron?

2 code implementations30 May 2018 Kedar Dhamdhere, Mukund Sundararajan, Qiqi Yan

Informally, the conductance of a hidden unit of a deep network is the \emph{flow} of attribution via this hidden unit.

feature selection Sentiment Analysis

How Important is a Neuron

no code implementations ICLR 2019 Kedar Dhamdhere, Mukund Sundararajan, Qiqi Yan

Informally, the conductance of a hidden unit of a deep network is the flow of attribution via this hidden unit.

feature selection

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