Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions

Research article (2018 International Joint Conference on Neural Networks (IJCNN), 2018) · cited 28× · AI/ML
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Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions

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Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions. Retrieved May 24, 2026, from https://4ort.xyz/entity/diagonalwise-refactorization-an-efficient-training-method-for-depthwise-convolutions
MLA “Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/diagonalwise-refactorization-an-efficient-training-method-for-depthwise-convolutions.
BibTeX @misc{4ortxyz_diagonalwise-refactorization-an-efficient-training-method-for-depthwise-convolutions_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions}}, year = {2026}, url = {https://4ort.xyz/entity/diagonalwise-refactorization-an-efficient-training-method-for-depthwise-convolutions}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions — https://4ort.xyz/entity/diagonalwise-refactorization-an-efficient-training-method-for-depthwise-convolutions (retrieved 2026-05-24)

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