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T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding.

, , , and . DAC, page 1-6. IEEE, (2020)

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T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding., , , and . DAC, page 1-6. IEEE, (2020)Energy-Efficient Inference Accelerator for Memory-Augmented Neural Networks on an FPGA., , , and . DATE, page 1587-1590. IEEE, (2019)Improving Graph-based Document-Level Relation Extraction Model with Novel Graph Structure., , and . CIKM, page 4379-4383. ACM, (2022)Memory-Augmented Neural Networks on FPGA for Real-Time and Energy-Efficient Question Answering., , , , and . IEEE Trans. Very Large Scale Integr. Syst., 29 (1): 162-175 (2021)CloudSocket: Smart grid platform for datacenters., , , , , , and . ICCD, page 436-439. IEEE Computer Society, (2016)Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks., , , and . DAC, page 53. ACM, (2019)Streaming MANN: A Streaming-Based Inference for Energy-Efficient Memory-Augmented Neural Networks., , , and . CoRR, (2018)Training Energy-Efficient Deep Spiking Neural Networks with Time-to-First-Spike Coding., and . CoRR, (2021)State-based full predication for low power coarse-grained reconfigurable architecture., , and . DATE, page 1367-1372. IEEE, (2012)Effective sentence-level relation extraction model using entity-centric dependency tree., and . PeerJ Comput. Sci., (2024)