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cs.LG2021★ 1 cited
Q-Rater: Non-Convex Optimization for Post-Training Uniform Quantization
Byeongwook Kim, Dongsoo Lee, Yeonju Ro +4
Various post-training uniform quantization methods have usually been studied based on convex optimization. As a result, most previous ones rely on the quantization error minimizati…
cs.LG2021★ 2 cited
Encoding Weights of Irregular Sparsity for Fixed-to-Fixed Model Compression
Baeseong Park, Se Jung Kwon, Daehwan Oh +2
Even though fine-grained pruning techniques achieve a high compression ratio, conventional sparsity representations (such as CSR) associated with irregular sparsity degrade paralle…