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GradLIME: A CNN Local Interpretation Model Based on Feature Gradient Activation

2025-09-25

Abstract excerpt

<title>Abstract</title> <p>As deep learning technologies advance rapidly, there is a growing demand for greater transparency and reliability in neural network decision-making. This demand has spurred progress in the explainability of Convolutional Neural Networks (CNNs) in recent years, though significant challenges persist. Current explanation methods typically fall into two categories: those that rely entirely...

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Literature Corpus work: 75ea4e4a-da20-58de-824f-06cb64439e31
DOI: 10.21203/rs.3.rs-7004733/v1

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