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DRQ: Dynamic Region-based Quantization for Deep Neural Network Acceleration

Research article (2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA), 2020) · cited 91× · AI/ML
academia openalex:W3043504674
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DRQ: Dynamic Region-based Quantization for Deep Neural Network Acceleration

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DRQ: Dynamic Region-based Quantization for Deep Neural Network Acceleration is a scholarly article[1].

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  • DRQ: Dynamic Region-based Quantization for Deep Neural Network Acceleration's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). DRQ: Dynamic Region-based Quantization for Deep Neural Network Acceleration. Retrieved May 24, 2026, from https://4ort.xyz/entity/drq-dynamic-region-based-quantization-for-deep-neural-network-acceleration
MLA “DRQ: Dynamic Region-based Quantization for Deep Neural Network Acceleration.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/drq-dynamic-region-based-quantization-for-deep-neural-network-acceleration.
BibTeX @misc{4ortxyz_drq-dynamic-region-based-quantization-for-deep-neural-network-acceleration_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DRQ: Dynamic Region-based Quantization for Deep Neural Network Acceleration}}, year = {2026}, url = {https://4ort.xyz/entity/drq-dynamic-region-based-quantization-for-deep-neural-network-acceleration}, note = {Accessed: 2026-05-24}}
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