Aug 12, 2020 · In this paper we present an automated mixed-precision quantization flow based on the HAQ framework but tailored for the memory and computational ...
Jan 10, 2021 · In this paper we present an automated mixed-precision quantization flow based on the HAQ framework but tailored for the memory and computational ...
To tackle this issue, in this paper we present an automated mixed-precision quantization flow based on the HAQ framework but tailored for the memory and ...
Nov 21, 2024 · This work addresses the challenges mentioned above by designing deep learningbased intelligent techniques for pervasive devices, i.e., DL models ...
Aug 12, 2020 · An automated mixed-precision quantization flow based on the HAQ framework but tailored for the memory and computational characteristics of ...
To tackle this issue, in this paper we present an automated mixed-precision quantization flow based on the HAQ framework but tailored for the memory and ...
Leveraging Automated Mixed-Low-Precision Quantization for tiny edge microcontrollers ... Quantization For Enabling Deep Network Inference On Microcontrollers.
Leveraging Automated Mixed-Low-Precision Quantization for tiny edge microcontrollers | [pdf]. OPTIMIZE WHAT MATTERS: TRAINING DNN-HMM KEYWORD SPOTTING MODEL ...
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aug 16, 2020 - Leveraging Automated Mixed-Low-Precision Quantization for tiny edge microcontrollers. Description: 【Arxive】 not read yet ...
ABSTRACT. This paper presents a novel end-to-end methodology for enabling the deployment of high-accuracy deep networks on microcontrollers.