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

Research article (Proceedings of the AAAI Conference on Artificial Intelligence, 2021) · cited 33× · AI/ML
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Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation

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Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation. Retrieved May 24, 2026, from https://4ort.xyz/entity/explaining-convolutional-neural-networks-through-attribution-based-input-sampling-and-block-wise-feature-aggregation
MLA “Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/explaining-convolutional-neural-networks-through-attribution-based-input-sampling-and-block-wise-feature-aggregation.
BibTeX @misc{4ortxyz_explaining-convolutional-neural-networks-through-attribution-based-input-sampling-and-block-wise-feature-aggregation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation}}, year = {2026}, url = {https://4ort.xyz/entity/explaining-convolutional-neural-networks-through-attribution-based-input-sampling-and-block-wise-feature-aggregation}, note = {Accessed: 2026-05-24}}
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