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ShiftNAS: Towards Automatic Generation of Advanced Mulitplication-Less Neural Networks
[article]
2022
arXiv
pre-print
Multiplication-less neural networks significantly reduce the time and energy cost on the hardware platform, as the compute-intensive multiplications are replaced with lightweight bit-shift operations. However, existing bit-shift networks are all directly transferred from state-of-the-art convolutional neural networks (CNNs), which lead to non-negligible accuracy drop or even failure of model convergence. To combat this, we propose ShiftNAS, the first framework tailoring Neural Architecture
arXiv:2204.05113v1
fatcat:hgp3zay7djezpis7olosay363u