Neural Network Attributions: A Causal Perspective

6 Feb 2019Aditya ChattopadhyayPiyushi ManupriyaAnirban SarkarVineeth N Balasubramanian

We propose a new attribution method for neural networks developed using first principles of causality (to the best of our knowledge, the first such). The neural network architecture is viewed as a Structural Causal Model, and a methodology to compute the causal effect of each feature on the output is presented... (read more)

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