Structured Compression by Weight Encryption for Unstructured Pruning and Quantization

CVPR 2020 Se Jung KwonDongsoo LeeByeongwook KimParichay KapoorBaeseong ParkGu-Yeon Wei

Model compression techniques, such as pruning and quantization, are becoming increasingly important to reduce the memory footprints and the amount of computations. Despite model size reduction, achieving performance enhancement on devices is, however, still challenging mainly due to the irregular representations of sparse matrix formats... (read more)

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