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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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Principais autores: Ummara Bibi, Mahrukh Mazhar, Dilshad Sabir, Muhammad Fasih Uddin Butt, Ali Hassan, Mustansar Ali Ghazanfar, Arshad Ali Khan, Wadood Abdul
פורמט: Artigo
שפה:Inglês
יצא לאור: IEEE 2024-01-01
סדרה:IEEE Access
נושאים:
Convolutional neural network
natural language processing
quantization
NLP models
compression
pruning
גישה מקוונת:https://ieeexplore.ieee.org/document/10685352/
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