Search Results for author: Naifeng Jing

Found 5 papers, 3 papers with code

DNN Training Acceleration via Exploring GPGPU Friendly Sparsity

no code implementations11 Mar 2022 Zhuoran Song, Yihong Xu, Han Li, Naifeng Jing, Xiaoyao Liang, Li Jiang

The training phases of Deep neural network~(DNN) consumes enormous processing time and energy.

CP-ViT: Cascade Vision Transformer Pruning via Progressive Sparsity Prediction

1 code implementation9 Mar 2022 Zhuoran Song, Yihong Xu, Zhezhi He, Li Jiang, Naifeng Jing, Xiaoyao Liang

We explore the sparsity in ViT and observe that informative patches and heads are sufficient for accurate image recognition.

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

1 code implementation19 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 implementations27 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

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