Deeplite Neutrino (TM): An End-to-End Framework for Constrained Deep Learning Model Optimization

Anush Sankaran, Olivier Mastropietro, Ehsan Saboori, Yasser Idris, Davis Sawyer, Mohammadhossein Askari Hemmat et Ghouthi Boukli Hacene

Communication écrite (2021)

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Département:	Département de génie informatique et génie logiciel
ISBN:	9781577358664
URL de PolyPublie:	https://publications.polymtl.ca/48695/
Nom de la conférence:	35th AAAI Conference on Artificial Intelligence / 33rd Conference on Innovative Applications of Artificial Intelligence / 11th Symposium on Educational Advances in Artificial Intelligence
Date(s) de la conférence:	2021-02-02 - 2021-02-09
Maison d'édition:	Assoc Advancement Artificial Intelligence
DOI:	10.48550/arxiv.2101.04073
URL officielle:	https://doi.org/10.48550/arxiv.2101.04073
Date du dépôt:	18 avr. 2023 15:00
Dernière modification:	21 août 2025 12:57

Citer en APA 7:

Sankaran, A., Mastropietro, O., Saboori, E., Idris, Y., Sawyer, D., Askari Hemmat, M., & Hacene, G. B. (février 2021). Deeplite Neutrino (TM): An End-to-End Framework for Constrained Deep Learning Model Optimization [Communication écrite]. 35th AAAI Conference on Artificial Intelligence / 33rd Conference on Innovative Applications of Artificial Intelligence / 11th Symposium on Educational Advances in Artificial Intelligence. https://doi.org/10.48550/arxiv.2101.04073

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