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SpikingConvolutional Neural Network
+offer+a+promising+pathway+to+implement+deep+neural+networks+(DNNs)+in+a+more+energy-efficient+manner+since+their+neurons+are+sparsely+activated+and+inferences+are+event-driven.+However%252C+there+have+been+very+few+works+that+have+demonstrated+the+efficacy+of+SNNs+in+language+tasks+partially+because+it+is+non-trivial+to+represent+words+in+the+forms+of+spikes+and+to+deal+with+variable-length+texts+by+SNNs.+This+work+presents+a+conversion+%252B+fine-tuning+two-step+method+for+training+SNNs+for+text+classification+and+proposes+a+simple+but+effective+way+to+encode+pre-trained+word+embeddings+as+spike+trains.+We+show+empirically+that+after+fine-tuning+with+surrogate+gradients%252C+the+converted+SNNs+achieve+comparable+results+to+their+DNN+counterparts+with+much+less+energy+consumption+across+multiple+datasets+for+both+English+and+Chinese.+We+also+show+that+such+SNNs+are+more+robust+to+adversarial+attacks+than+DNNs.&cdnurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.54127e4667cff09a3a7d077ed185cf5d%3frik%3djdeTInjep7AQ0A%26pid%3dImgRaw%26r%3d0&exph=630&expw=1200&q=Spiking+Convolutional+Neural+Network&FORM=IRPRST&ck=73072C6D574CFDDB9FD5BC6214C2308B&selectedIndex=20&itb=0)
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