Unverified50% confidenceOpinionExact time
Classical deep-learning explanation methods (such as Integrated Gradients, SHAP and Grad-CAM) mostly rely on approximation, estimating feature importance via gradients or sampling, which is computationally expensive and whose results are affected by the choice of baseline.
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50%
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Long-term
Relevance
11/3/2026
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