MetaQuRe: Meta-learning from Model Quality and Resource Consumption-Reference-Cited by-同舟云学术

MetaQuRe: Meta-learning from Model Quality and Resource Consumption

Published:2024 Issue: Volume: Page:209-226
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:en
Short-container-title:

Author:

Fischer Raphael^ORCID,Wever Marcel^ORCID,Buschjäger Sebastian^ORCID,Liebig Thomas^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-70368-3_13

Reference42 articles.

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2. Benmeziane, H., Maghraoui, K.E., Ouarnoughi, H., Niar, S., Wistuba, M., Wang, N.: A comprehensive survey on hardware-aware neural architecture search (2021). https://arxiv.org/abs/2101.09336

3. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);R Chatila,2021

4. Demšar, J.: Statistical comparisons of classifiers over multiple data sets. J. Mach. Learn. Res. (JMLR) 7(1), 1–30 (2006). http://jmlr.org/papers/v7/demsar06a.html

5. das Dores, S.C.N., Soares, C., Ruiz, D.D.: Bandit-based automated machine learning. In: 7th Brazilian Conference on Intelligent Systems (BRACIS), pp. 121–126 (2018). https://doi.org/10.1109/BRACIS.2018.00029

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