FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations
Author:
Affiliation:
1. Cornell University, Ithaca, NY, USA
2. University of Illinois Urbana-Champaign, Urbana, IL, USA
3. Sun Yat-sen University & Cornell University, Ithaca, NY, USA
Funder
NSF (National Science Foundation)
Xilinx
Defense Advanced Research Projects Agency
Semiconductor Research Corporation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3431920.3439296
Reference60 articles.
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