Hadjer Benmeziane — accepted AI-conference papers

2024

Medical Neural Architecture Search: Survey and Taxonomy

Hadjer Benmeziane, Imane Hamzaoui, Zayneb Cherif, Kaoutar El Maghraoui

IJCAI 2024poster

This paper presents a comprehensive survey of Medical Neural Architecture Search (MedNAS), a burgeoning field at the confluence of deep learning and medical imaging. With the increasing prevalence of FDA-approved medical deep learning models, MedNAS emerges as a key area in leveraging computational…

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2021

Hardware-Aware Neural Architecture Search: Survey and Taxonomy

Hadjer Benmeziane, Kaoutar El Maghraoui, Hamza Ouarnoughi, Smail Niar, Martin Wistuba, Naigang Wang

IJCAI 2021poster

There is no doubt that making AI mainstream by bringing powerful, yet power hungry deep neural networks (DNNs) to resource-constrained devices would required an efficient co-design of algorithms, hardware and software. The increased popularity of DNN applications deployed on a wide variety of platfo…

Cited by 64 Source ↗PDF ↗Scholar ↗