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Found 5 papers, 2 papers with code
On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models
For industrial-scale advertising systems, prediction of ad click-through rate (CTR) is a central problem.
How Important is a Neuron
Informally, the conductance of a hidden unit of a deep network is the flow of attribution via this hidden unit.
How Important Is a Neuron?
Informally, the conductance of a hidden unit of a deep network is the \emph{flow} of attribution via this hidden unit.
Axiomatic Attribution for Deep Networks
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
Gradients of Counterfactuals
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.
