Advances in Pruning and Quantization for Natural Language Processing

With ongoing advancements in natural language processing (NLP) and deep learning methods, the demand for computational and memory resources has considerably increased, which signifies the determination of efficient and compact models in resource-constrained environments. A comprehensive overview of...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Ummara Bibi, Mahrukh Mazhar, Dilshad Sabir, Muhammad Fasih Uddin Butt, Ali Hassan, Mustansar Ali Ghazanfar, Arshad Ali Khan, Wadood Abdul
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	Convolutional neural network natural language processing quantization NLP models compression pruning
Online Access:	https://ieeexplore.ieee.org/document/10685352/