31 citations · 91 across the 9 of their papers we have counts for
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cs.LG2022★ 7 cited
A Low Latency Adaptive Coding Spiking Framework for Deep Reinforcement Learning
Lang Qin, Rui Yan, Huajin Tang
In recent years, spiking neural networks (SNNs) have been used in reinforcement learning (RL) due to their low power consumption and event-driven features. However, spiking reinfor…
cs.NE2022★ 31 cited
Towards Lossless ANN-SNN Conversion under Ultra-Low Latency with Dual-Phase Optimization
Ziming Wang, Shuang Lian, Yuhao Zhang +3
Spiking neural networks (SNNs) operating with asynchronous discrete events show higher energy efficiency with sparse computation. A popular approach for implementing deep SNNs is A…