DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression

26 Jan 2019Sian JinSheng DiXin LiangJiannan TianDingwen TaoFranck Cappello

DNNs have been quickly and broadly exploited to improve the data analysis quality in many complex science and engineering applications. Today's DNNs are becoming deeper and wider because of increasing demand on the analysis quality and more and more complex applications to resolve... (read more)

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Evaluation Results from the Paper


 SOTA for Neural Network Compression on ImageNet (using extra training data)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK USES EXTRA
TRAINING DATA
COMPARE
Neural Network Compression ImageNet ImageNet All 0.1 # 1