ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization

Research article (2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO), 2022) · cited 90× · AI/ML
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ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization

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ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization. Retrieved May 24, 2026, from https://4ort.xyz/entity/ant-exploiting-adaptive-numerical-data-type-for-low-bit-deep-neural-network-quantization
MLA “ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ant-exploiting-adaptive-numerical-data-type-for-low-bit-deep-neural-network-quantization.
BibTeX @misc{4ortxyz_ant-exploiting-adaptive-numerical-data-type-for-low-bit-deep-neural-network-quantization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization}}, year = {2026}, url = {https://4ort.xyz/entity/ant-exploiting-adaptive-numerical-data-type-for-low-bit-deep-neural-network-quantization}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization — https://4ort.xyz/entity/ant-exploiting-adaptive-numerical-data-type-for-low-bit-deep-neural-network-quantization (retrieved 2026-05-24)

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