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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Vydané v:	2023 5th International Conference on Data-driven Optimization of Complex Systems (DOCS) s. 1 - 7
Hlavní autori:	Xiao, Kaiwen, Cai, Xiaodong, Xu, Ke
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 22.09.2023
Predmet:	Computational modeling Focusing Image coding Neural networks Object detection Quantization (signal) Training
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