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David Novo
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Documents
Identifiants chercheurs
- david-novo
- 0000-0002-5510-4152
- Google Scholar : https://scholar.google.fr/citations?user=9U2rzRQAAAAJ&hl=en&oi=ao
- IdRef : 244276455
Présentation
Publications
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CNN weight sharing based on a fast accuracy estimation metricMicroelectronics Reliability, 2021, 122, pp.#114148. ⟨10.1016/j.microrel.2021.114148⟩
Article dans une revue
hal-03257748v1
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A Heuristic Exploration of Retraining-free Weight-Sharing for CNN CompressionASP-DAC 2022 - 27th Asia and South Pacific Design Automation Conference, Jan 2022, Taipei, Taiwan. pp.134-139, ⟨10.1109/ASP-DAC52403.2022.9712487⟩
Communication dans un congrès
lirmm-03767100v1
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Fast Exploration of Weight Sharing Opportunities for CNN CompressionSLOHA 2021 - Workshop on System-level Design Methods for Deep Learning on Heterogeneous Architectures, Feb 2021, Grenoble, France
Communication dans un congrès
hal-04531713v1
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AdequateDL: Approximating Deep Learning AcceleratorsDDECS 2021 - 24th International Symposium on Design and Diagnostics of Electronic Circuits and Systems, Apr 2021, Vienna (virtual), Austria. pp.37-40, ⟨10.1109/DDECS52668.2021.9417026⟩
Communication dans un congrès
hal-03266861v1
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On the Automatic Exploration of Weight Sharing for Deep Neural Network CompressionDATE 2020 - 23rd Design, Automation and Test in Europe Conference and Exhibition, Mar 2020, Grenoble, France. pp.1319-1322, ⟨10.23919/DATE48585.2020.9116350⟩
Communication dans un congrès
lirmm-03054114v1
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Sensitivity Analysis and Compression Opportunities in DNNs Using Weight SharingDDECS 2020 - 23rd International Symposium on Design and Diagnostics of Electronic Circuits and Systems, Apr 2020, Novi Sad, Serbia. pp.1-6, ⟨10.1109/DDECS50862.2020.9095658⟩
Communication dans un congrès
lirmm-03054134v1
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Approximations in Deep LearningApproximate Computing Techniques - From Component- to Application-Level, pp.467-512, 2022, 978-3-030-94704-0. ⟨10.1007/978-3-030-94705-7_15⟩
Chapitre d'ouvrage
hal-03494874v1
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