VS-Quant: Per-vector Scaled Quantization for Accurate Low-Precision Neural Network Inference - researchr publication authors

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Steve Dai, Rangharajan Venkatesan, Mark Ren, Brian Zimmer, William J. Dally, Brucek Khailany. VS-Quant: Per-vector Scaled Quantization for Accurate Low-Precision Neural Network Inference. In Alex Smola, Alex Dimakis, Ion Stoica, editors, Proceedings of Machine Learning and Systems 2021, MLSys 2021, virtual, April 5-9, 2021. mlsys.org, 2021. [doi]

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