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Chunxiao Fan1, Jintao Li2, Zhongqian Zhang2
1Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, Hefei University of Technology, Hefei, 230009, Anhui, China; Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, 230088, Anhui, China.
这项研究引入了联合神经网络修剪和定量化的两阶段框架. 该方法协同优化了多种压缩技术,降低了模型的复杂性,同时保持了准确性.
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