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Reducing the Hardware Gap for Custom Accelerators through Quantization Aware Training

Year: 2026

Type: conference-paper

Abstract: International audience

Source: HAL (Le Centre pour la Communication Scientifique Directe)

Authors: Barbe, Bastien, Bouarah, Romain, de Dinechin, Florent, Volkova, Anastasia

Institutions: EMERAUDE: Systèmes Embarqués audio programmables, Center of Innovation in Telecommunications and Integration of Service, Institut National des Sciences Appliquées de Lyon

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7125091481

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