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SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training

Research article (2020 57th ACM/IEEE Design Automation Conference (DAC), 2020) · cited 26× · AI/ML
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SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training

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SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training is a scholarly article[1].

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  • SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training's instance of is recorded as scholarly article[2].

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Yiran Chen

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APA 4ort.xyz Knowledge Graph. (2026). SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training. Retrieved May 24, 2026, from https://4ort.xyz/entity/sparsetrain-exploiting-dataflow-sparsity-for-efficient-convolutional-neural-networks-training
MLA “SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sparsetrain-exploiting-dataflow-sparsity-for-efficient-convolutional-neural-networks-training.
BibTeX @misc{4ortxyz_sparsetrain-exploiting-dataflow-sparsity-for-efficient-convolutional-neural-networks-training_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training}}, year = {2026}, url = {https://4ort.xyz/entity/sparsetrain-exploiting-dataflow-sparsity-for-efficient-convolutional-neural-networks-training}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training — https://4ort.xyz/entity/sparsetrain-exploiting-dataflow-sparsity-for-efficient-convolutional-neural-networks-training (retrieved 2026-05-24)

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