An Empirical Study on Neural Networks Pruning: Trimming for Reducing Memory or Workload

Most of existing studies on neural network pruning only consider memory-based pruning strategies. However pruning for computational workload is often more important in hardware deployments due to a greater focus on model computation reductions. In addition, most pruning schemes restore model accurac...

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Bibliographic Details

Published in:	2023 5th International Conference on Data-driven Optimization of Complex Systems (DOCS) pp. 1 - 7
Main Authors:	Xiao, Kaiwen, Cai, Xiaodong, Xu, Ke
Format:	Conference Proceeding
Language:	English
Published:	IEEE 22.09.2023
Subjects:	Computational modeling Focusing Image coding Neural networks Object detection Quantization (signal) Training
Online Access:	Get full text
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