Towards a tailored mixed-precision sub-8-bit quantization scheme for Gated Recurrent Units using Genetic Algorithms

Despite the recent advances in model compression techniques for deep neural networks, deploying such models on ultra-low-power embedded devices still proves challenging. In particular, quantization schemes for Gated Recurrent Units (GRU) are difficult to tune due to their dependence on an internal s...

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Bibliographic Details

Main Authors:	Miccini, Riccardo, Cerioli, Alessandro, Laroche, Clément, Piechowiak, Tobias, Sparsø, Jens, Pezzarossa, Luca
Format:	Journal Article
Language:	English
Published:	19-02-2024
Subjects:	Computer Science - Learning Computer Science - Neural and Evolutionary Computing
Online Access:	Get full text
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