Invocation-driven Neural Approximate Computing with a Multiclass-Classifier and Multiple Approximators

1 code implementation • 19 Oct 2018 • Haiyue Song, Chengwen Xu, Qiang Xu, Zhuoran Song, Naifeng Jing, Xiaoyao Liang, Li Jiang

We thus propose a novel approximate computing architecture with a Multiclass-Classifier and Multiple Approximators (MCMA).

AXNet: ApproXimate computing using an end-to-end trainable neural network

2 code implementations • 27 Jul 2018 • Zhenghao Peng, Xuyang Chen, Chengwen Xu, Naifeng Jing, Xiaoyao Liang, Cewu Lu, Li Jiang

To guarantee the approximation quality, existing works deploy two neural networks (NNs), e. g., an approximator and a predictor.

Multi-Task Learning Philosophy