Compensated-DNN: Energy Efficient Low-Precision Deep Neural Networks by Compensating Quantization Errors

Research article (2018 55th ACM/ESDA/IEEE Design Automation Conference (DAC), 2018) · cited 29× · AI/ML
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Compensated-DNN: Energy Efficient Low-Precision Deep Neural Networks by Compensating Quantization Errors

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Compensated-DNN: Energy Efficient Low-Precision Deep Neural Networks by Compensating Quantization Errors is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Compensated-DNN: Energy Efficient Low-Precision Deep Neural Networks by Compensating Quantization Errors. Retrieved May 24, 2026, from https://4ort.xyz/entity/compensated-dnn-energy-efficient-low-precision-deep-neural-networks-by-compensating-quantization-errors
MLA “Compensated-DNN: Energy Efficient Low-Precision Deep Neural Networks by Compensating Quantization Errors.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/compensated-dnn-energy-efficient-low-precision-deep-neural-networks-by-compensating-quantization-errors.
BibTeX @misc{4ortxyz_compensated-dnn-energy-efficient-low-precision-deep-neural-networks-by-compensating-quantization-errors_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Compensated-DNN: Energy Efficient Low-Precision Deep Neural Networks by Compensating Quantization Errors}}, year = {2026}, url = {https://4ort.xyz/entity/compensated-dnn-energy-efficient-low-precision-deep-neural-networks-by-compensating-quantization-errors}, note = {Accessed: 2026-05-24}}
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