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Efficient and Effective Methods for Mixed Precision Neural Network Quantization for Faster, Energy-efficient Inference.

, , , , and . CoRR, (2023)

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11.4 IBM NorthPole: An Architecture for Neural Network Inference with a 12nm Chip., , , , , , , , , and 22 other author(s). ISSCC, page 214-215. IEEE, (2024)Computing linear functions with linear network codes., and . Allerton, page 29-35. IEEE, (2010)Learned Step Size quantization., , , , and . ICLR, OpenReview.net, (2020)Network coding for computing., , , and . Allerton, page 1-6. IEEE, (2008)Efficient and Effective Methods for Mixed Precision Neural Network Quantization for Faster, Energy-efficient Inference., , , , and . CoRR, (2023)IBM NorthPole Neural Inference Machine., , , , , , , , , and 22 other author(s). HCS, page 1-58. IEEE, (2023)Distributed computation of symmetric functions with binary inputs., , and . ITW, page 76-80. IEEE, (2009)Truenorth ecosystem for brain-inspired computing: scalable systems, software, and applications., , , , , , , , , and 36 other author(s). SC, page 130-141. IEEE Computer Society, (2016)Optimality of Linear Codes for Broadcast-Mode Multicast Networks., , and . ISIT, page 50-53. IEEE, (2006)Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Inference., , , , , , and . EMC2@NeurIPS, page 6-9. IEEE, (2019)