[2005.03842] GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference

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[2005.03842] GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference Skip to main content arXiv is now an independent nonprofit! Learn more × Search arXiv Press Enter to search · Advanced search --> Computer Science > Machine Learning arXiv:2005.03842 (cs) [Submitted on 8 May 2020 ( v1 ), last revised 27 Sep 2020 (this version, v2)] Title: GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference Authors: Ali Hadi Zadeh , Isak Edo , Omar Mohamed Awad , Andreas Moshovos View a PDF of the paper titled GOBO: Quantizi

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