Anush Sankaran, Olivier Mastropietro, Ehsan Saboori, Yasser Idris, Davis Sawyer, MohammadHossein AskariHemmat et Ghouthi Boukli Hacene
Communication écrite (2021)
Un lien externe est disponible pour ce documentDépartement: | Département de génie informatique et génie logiciel |
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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: | 05 avr. 2024 11:50 |
Citer en APA 7: | Sankaran, A., Mastropietro, O., Saboori, E., Idris, Y., Sawyer, D., AskariHemmat, M.H., & 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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