摘要 : Filter pruning of convolutional neural networks (CNNs) is a common technique to effectively reduce the memory footprint, the number of arithmetic operations, and, consequently, inference time. Recent pruning approaches also consid... 展开
作者 | Christian Heidorn Muhammad Sabin Nicolai Meyerhoefer Christian Schinabeck Juergen Teich Frank Hannig |
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作者单位 | |
期刊名称 | 《International journal of parallel programming》 |
页码/总页数 | 40-58 / 19 |
语种 | 英语 |
关键词 | Filter pruning Evolutionary algorithm Explainable AI |
DOI | 10.1007/s10766-024-00760-5 |
馆藏号 | TP-133 |