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Abstract:Gradient based attribution methods for neural networks working as classifiers use gradients of network scores. Here we discuss the practical differences between using gradients of pre-softmax scores versus post-softmax scores, and their respective advantages and disadvantages.
* 8 pages, 2 figures. A version of this paper has been accepted for
presentation in The IEEE International Conference on Pattern Recognition
Systems (ICPRS-23)