A Character-level Short Text Classification Model Based On Spiking Neural Networks
Author:
Affiliation:
1. School of Artificial Intelligence, University of Chinese Academy of Sciences,China
2. Institute of Automation, Chinese Academy of Sciences,China
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Chinese Academy of Sciences
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10190990/10190992/10191963.pdf?arnumber=10191963
Reference24 articles.
1. Character-level convolutional networks for text classification;zhang;Advances in neural information processing systems,2015
2. Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks
3. Bert: Pre-training of deep bidirectional transformers for language understanding;devlin;ArXiv Preprint,2018
4. A million spiking-neuron integrated circuit with a scalable communication network and interface
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