Conference paper
Separable explanations of neural network decisions
Deep Taylor Decomposition is a method used to explain neural network decisions. When applying this method to non-dominant classifications, the resulting explanation does not reflect important features for the chosen classification. We propose that this is caused by the dense layers and propose a method to alleviate the effect by applying regularization.
We assess the result by measuring the quality of the resulting explanations objectively and subjectively.
Language: | English |
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Year: | 2017 |
Proceedings: | 31st Conference on Neural Information Processing SystemsConference on Neural Information Processing Systems |
Types: | Conference paper |
ORCIDs: | Rieger, Laura |