Training Multi-Bit Quantized and Binarized Networks with a Learnable Symmetric Quantizer

Quantizing weights and activations of deep neural networks is essential for deploying them in resource-constrained devices, or cloud platforms for at-scale services. While binarization is a special case of quantization, this extreme case often leads to several training difficulties, and necessitates...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Phuoc Pham, Jacob A. Abraham, Jaeyong Chung
Format:	Article
Language:	English
Published:	IEEE 2021-01-01
Subjects:	Learnable quantizer quantization binarization model compression machine learning neuromorphic computing
Online Access:	https://ieeexplore.ieee.org/document/9383003/