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Fault-Tolerant Training with On-Line Fault Detection for RRAM-Based Neural Computing Systems., , , , and . DAC, page 33:1-33:6. ACM, (2017)Energy Efficient RRAM Spiking Neural Network for Real Time Classification., , , , , , , and . ACM Great Lakes Symposium on VLSI, page 189-194. ACM, (2015)A peripheral circuit reuse structure integrated with a retimed data flow for low power RRAM crossbar-based CNN., , , , , and . DATE, page 1057-1062. IEEE, (2018)Mixed size crossbar based RRAM CNN accelerator with overlapped mapping method., , , , , , , and . ICCAD, page 69. ACM, (2018)Computation-oriented fault-tolerance schemes for RRAM computing systems., , , , , , , , , and . ASP-DAC, page 794-799. IEEE, (2017)Spiking neural network with RRAM: can we use it for real-world application?, , , , , , and . DATE, page 860-865. ACM, (2015)Low power Convolutional Neural Networks on a chip., , , , , , and . ISCAS, page 129-132. IEEE, (2016)Ouroboros: An Inference Engine for Deep Learning Based TTS on Embedded Devices., , , , , , , and . Hot Chips Symposium, page 1-28. IEEE, (2019)PAI-FCNN: FPGA Based CNN Inference System., , , , , , , , , and 1 other author(s). FPGA, page 184. ACM, (2019)MNSIM 2.0: A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems., , , , , , , , , and 3 other author(s). ACM Great Lakes Symposium on VLSI, page 83-88. ACM, (2020)