DGL: Device Generic Latency Model for Neural Architecture Search on Mobile Devices-Reference-Cited by-同舟云学术

DGL: Device Generic Latency Model for Neural Architecture Search on Mobile Devices

Published:2023 Issue: Volume: Page:1-14
ISSN:1536-1233
Container-title:IEEE Transactions on Mobile Computing
language:
Short-container-title:IEEE Trans. on Mobile Comput.

Author:

Wang Qinsi¹,Zhang Sihai²^ORCID

Affiliation:

1. Department of Electronic Science and Technology, School of Microelectronics, University of Science and Technology of China, Hefei, Anhui Province, China

2. Key Laboratory of Wireless-Optical Communications, Chinese Academy of Sciences, School of Micro-Electronics, University of Science and Technology of China, Hefei, Anhui Province, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Link

http://xplorestaging.ieee.org/ielx7/7755/4358975/10042973.pdf?arnumber=10042973

Reference57 articles.

1. ImageNet: A large-scale hierarchical image database

2. Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells

3. AutoAugment: Learning Augmentation Strategies From Data

4. Adversarial autoaugment;Zhang,2019

5. FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search

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