Novel Surrogate Measures Based on a Similarity Network for Neural Architecture Search-Reference-Cited by-同舟云学术

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Novel Surrogate Measures Based on a Similarity Network for Neural Architecture Search

Published:2023 Issue: Volume:11 Page:22596-22613
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Kuş Zeki¹^ORCID,Akkan Can²^ORCID,Gülcü Ayla³^ORCID

Affiliation:

1. Department of Computer Engineering, Fatih Sultan Mehmet University, Beyoğlu, Istanbul, Turkey

2. Sabancı Business School, Sabancı University, Tuzla, Istanbul, Turkey

3. Department of Software Engineering, Bahçeşehir University, Beçiktaş, Istanbul, Turkey

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/ielx7/6287639/10005208/10058912.pdf?arnumber=10058912

Reference40 articles.

1. Tabular benchmarks for joint architecture and hyperparameter optimization;klein;arXiv 1905 04970,2019

2. How powerful are performance predictors in neural architecture search?;white;arXiv 2104 01177,2021

3. Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles

4. Exploring the loss landscape in neural architecture search;white;arXiv 2005 02960,2020

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