most citedExplaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation

13 citations · 13 across the 1 of their papers we have counts for

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cs.CV2020★ 13 cited

Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation

Sam Sattarzadeh, Mahesh Sudhakar, Anthony Lem +7

As an emerging field in Machine Learning, Explainable AI (XAI) has been offering remarkable performance in interpreting the decisions made by Convolutional Neural Networks (CNNs).…