Pruning Convolutional Neural Networks for Resource Efficient Inference

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Pruning Convolutional Neural Networks for Resource Efficient Inference

19 November 2016

Pavlo Molchanov

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Papers citing "Pruning Convolutional Neural Networks for Resource Efficient Inference"

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Title
Poly-MgNet: Polynomial Building Blocks in Multigrid-Inspired ResNets Antonia van Betteray Matthias Rottmann Karsten Kahl 179 1 0 13 Mar 2025
Investigating the Effect of Network Pruning on Performance and Interpretability Jonathan von Rad Florian Seuffert 98 1 0 29 Sep 2024
LeanConvNets: Low-cost Yet Effective Convolutional Neural Networks Jonathan Ephrath Moshe Eliasof Lars Ruthotto E. Haber Eran Treister 106 16 0 29 Oct 2019
Structured Pruning of Deep Convolutional Neural Networks S. Anwar Kyuyeon Hwang Wonyong Sung 124 748 0 29 Dec 2015
Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications Yong-Deok Kim Eunhyeok Park S. Yoo Taelim Choi Lu Yang Dongjun Shin 124 894 0 20 Nov 2015
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 313 6,681 0 08 Jun 2015
Deep Learning with Limited Numerical Precision Suyog Gupta A. Agrawal K. Gopalakrishnan P. Narayanan HAI 207 2,048 0 09 Feb 2015
maxDNN: An Efficient Convolution Kernel for Deep Learning with Maxwell GPUs Andrew Lavin BDL 69 47 0 27 Jan 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,386 0 04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,547 0 01 Sep 2014