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Generalizing Backpropagation for Gradient-Based Interpretability

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractMany popular feature-attribution methods for interpreting deep neural networks rely on computing the gradients of a model’s output with respect to its inputs. While these methods can indicate which input …...

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