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Per-Tensor Fixed-Point Quantization of the Back-Propagation Algorithm., и . CoRR, (2018)Analytical Guarantees on Numerical Precision of Deep Neural Networks., , и . ICML, том 70 из Proceedings of Machine Learning Research, стр. 3007-3016. PMLR, (2017)Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training., , , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 19123-19138. PMLR, (2022)PredictiveNet: An energy-efficient convolutional neural network via zero prediction., , , и . ISCAS, стр. 1-4. IEEE, (2017)Per-Tensor Fixed-Point Quantization of the Back-Propagation Algorithm., и . ICLR (Poster), OpenReview.net, (2019)Minimum precision requirements for the SVM-SGD learning algorithm., , , , и . ICASSP, стр. 1138-1142. IEEE, (2017)Carrier-Sense Protocols for Packet-Switched Smart Antenna Basestations., и . Int. J. Wirel. Inf. Networks, 7 (3): 133-148 (2000)Signal Processing Methods to Enhance the Energy Efficiency of In-Memory Computing Architectures., и . IEEE Trans. Signal Process., (2021)A 0.44-μJ/dec, 39.9-μs/dec, Recurrent Attention In-Memory Processor for Keyword Spotting., , , и . IEEE J. Solid State Circuits, 56 (7): 2234-2244 (2021)Carrier-sense protocols for packet-switched smart antenna basestations., и . ICNP, стр. 45-52. IEEE Computer Society, (1997)