HAWIS: Hardware-Aware Automated WIdth Search for Accurate, Energy-Efficient and Robust Binary Neural Network on ReRAM Dot-Product Engine
Author:
Affiliation:
1. Shanghai Jiao Tong University,Shanghai,China
2. Shanghai Qi Zhi Institute,Shanghai,China
Funder
National Natural Science Foundation of China
National Key Research and Development Program of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9712466/9712479/09712542.pdf?arnumber=9712542
Reference24 articles.
1. Go Unary: A Novel Synapse Coding and Mapping Scheme for Reliable ReRAM-based Neuromorphic Computing
2. Forward and Backward Information Retention for Accurate Binary Neural Networks
3. Bit-Flip Attack: Crushing Neural Network With Progressive Bit Search
4. ImageNet Large Scale Visual Recognition Challenge
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