Q-Rater: Non-Convex Optimization for Post-Training Uniform Quantization

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 minimization and/or quadratic approximations. Such approaches are computationally efficient and reasonable when a large number of...

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Hauptverfasser: Kim, Byeongwook, Lee, Dongsoo, Ro, Yeonju, Jeon, Yongkweon, Kwon, Se Jung, Park, Baeseong, Oh, Daehwan
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Sprache:eng
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