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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Veröffentlicht in:	2023 5th International Conference on Data-driven Optimization of Complex Systems (DOCS) S. 1 - 7
Hauptverfasser:	Xiao, Kaiwen, Cai, Xiaodong, Xu, Ke
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 22.09.2023
Schlagworte:	Computational modeling Focusing Image coding Neural networks Object detection Quantization (signal) Training
Online-Zugang:	Volltext
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