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Training deep neural networks with low precision multiplications

, , and . (2014)cite arxiv:1412.7024v5.pdfComment: 10 pages, 5 figures, Accepted as a workshop contribution at ICLR 2015.

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Training deep neural networks with low precision multiplications, , and . (2014)cite arxiv:1412.7024v5.pdfComment: 10 pages, 5 figures, Accepted as a workshop contribution at ICLR 2015.Binarized Neural Networks., , , , and . NIPS, page 4107-4115. (2016)Attention Based Pruning for Shift Networks., , , , and . CoRR, (2019)Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations., , , , and . J. Mach. Learn. Res., (2017)BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization., , , , , , , and . CoRR, (2020)Attention Based Pruning for Shift Networks., , , , and . ICPR, page 4054-4061. IEEE, (2020)BinaryConnect: Training Deep Neural Networks with binary weights during propagations., , and . NIPS, page 3123-3131. (2015)Binarized neural networks: Training deep neural networks with weights and activations constrained to+ 1 or-1, , , , and . arXiv preprint arXiv:1602.02830, (2016)BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization., , , , , , , , , and . ISCAS, page 1-5. IEEE, (2024)