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Exploring Lottery Ticket Hypothesis in Spiking Neural Networks. (arXiv:2207.01382v2 [cs.AI] UPDATED)
July 22, 2022, 1:13 a.m. | Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda
cs.CV updates on arXiv.org arxiv.org
Spiking Neural Networks (SNNs) have recently emerged as a new generation of
low-power deep neural networks, which is suitable to be implemented on
low-power mobile/edge devices. As such devices have limited memory storage,
neural pruning on SNNs has been widely explored in recent years. Most existing
SNN pruning works focus on shallow SNNs (2~6 layers), however, deeper SNNs (>16
layers) are proposed by state-of-the-art SNN works, which is difficult to be
compatible with the current SNN pruning work. To scale …
ai arxiv hypothesis lottery ticket hypothesis networks neural networks spiking neural networks
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