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HFPQ: deep neural network compression by hardware-friendly pruning-quantization

Research article (Applied Intelligence, 2021) · cited 25× · AI/ML
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Summary

HFPQ: deep neural network compression by hardware-friendly pruning-quantization is a scholarly article[1].

Key Facts

  • HFPQ: deep neural network compression by hardware-friendly pruning-quantization's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). HFPQ: deep neural network compression by hardware-friendly pruning-quantization. Retrieved October 20, 2026, from https://4ort.xyz/entity/hfpq-deep-neural-network-compression-by-hardware-friendly-pruning-quantization
MLA “HFPQ: deep neural network compression by hardware-friendly pruning-quantization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 20 Oct. 2026, https://4ort.xyz/entity/hfpq-deep-neural-network-compression-by-hardware-friendly-pruning-quantization.
BibTeX @misc{4ortxyz_hfpq-deep-neural-network-compression-by-hardware-friendly-pruning-quantization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{HFPQ: deep neural network compression by hardware-friendly pruning-quantization}}, year = {2026}, url = {https://4ort.xyz/entity/hfpq-deep-neural-network-compression-by-hardware-friendly-pruning-quantization}, note = {Accessed: 2026-10-20}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): HFPQ: deep neural network compression by hardware-friendly pruning-quantization — https://4ort.xyz/entity/hfpq-deep-neural-network-compression-by-hardware-friendly-pruning-quantization (retrieved 2026-10-20)

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