IGWO-SS: Improved Grey Wolf Optimization Based on Synaptic Saliency for Fast Neural Architecture Search in Computer Vision-Reference-Cited by-同舟云学术

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IGWO-SS: Improved Grey Wolf Optimization Based on Synaptic Saliency for Fast Neural Architecture Search in Computer Vision

Published:2022 Issue: Volume:10 Page:67851-67869
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Arman Shifat E.¹^ORCID,Deowan Shamim Ahmed¹^ORCID

Affiliation:

1. Department of Robotics and Mechatronics Engineering, University of Dhaka, Dhaka, Bangladesh

Funder

University of Dhaka, Dhaka, Bangladesh

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09802661.pdf?arnumber=9802661

Reference77 articles.

1. DARTS: Differentiable architecture search;liu;Arxiv 1806 09055,2018

2. BOHB: Robust and efficient hyperparameter optimization at scale;falkner;Proc Int Conf Mach Learn,2018

3. Simple statistical gradient-following algorithms for connectionist reinforcement learning

4. Random search for hyper-parameter optimization;bergstra;J Mach Learn Res,2012

5. BlockSwap: Fisher-guided block substitution for network compression on a budget;turner;arXiv 1906 04113,2019

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