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Statistical method of pruning neural networks
IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339), 2003A statistical method of pruning multilayer perceptrons is proposed which is expected to involve less computation than does "optimal brain surgeon". The statistical method iteratively performs the steps of estimating the error covariance of the weights, evaluating the z-statistics for the weights, pruning the weights selected by hypothesis testing, and ...
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Intermittent-Aware Neural Network Pruning
2023 60th ACM/IEEE Design Automation Conference (DAC), 2023Chih-Chia Lin +4 more
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Pruning and quantization for deep neural network acceleration: A survey
Neurocomputing, 2021Xiaotong Zhang, John Glossner
exaly
Channel pruning based on convolutional neural network sensitivity
Neurocomputing, 2022Chenbin Yang, Huiyi Liu
exaly
GenExp: Multi-objective pruning for deep neural network based on genetic algorithm
Neurocomputing, 2021Lingzhi Liu
exaly
DMPP: Differentiable multi-pruner and predictor for neural network pruning
Neural Networks, 2022Bo Zhao
exaly
HFPQ: deep neural network compression by hardware-friendly pruning-quantization
Applied Intelligence, 2021Shengli Lu, Wei Pang, Pang Wei
exaly
Deep Neural Network Compression by In-Parallel Pruning-Quantization
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020Frederick Tung, Greg Mori
exaly