NodeDrop: A Condition for Reducing Network Size without Effect on Output

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NodeDrop: A Condition for Reducing Network Size without Effect on Output

3 June 2019

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Papers citing "NodeDrop: A Condition for Reducing Network Size without Effect on Output"

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Title
Learning Efficient Convolutional Networks through Network Slimming Zhuang Liu Jianguo Li Zhiqiang Shen Gao Huang Shoumeng Yan Changshui Zhang 125 2,426 0 22 Aug 2017
Variational Dropout Sparsifies Deep Neural Networks Dmitry Molchanov Arsenii Ashukha Dmitry Vetrov BDL 150 831 0 19 Jan 2017
Pruning Filters for Efficient ConvNets Hao Li Asim Kadav Igor Durdanovic H. Samet H. Graf 3DPC 195 3,705 0 31 Aug 2016
Learning Structured Sparsity in Deep Neural Networks W. Wen Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 187 2,341 0 12 Aug 2016
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 423 10,531 0 21 Jul 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks Mohammad Rastegari Vicente Ordonez Joseph Redmon Ali Farhadi MQ 175 4,369 0 16 Mar 2016
Sparsifying Neural Network Connections for Face Recognition Yi Sun Xiaogang Wang Xiaoou Tang 3DH CVBM 61 141 0 07 Dec 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 263 8,859 0 01 Oct 2015
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 313 6,700 0 08 Jun 2015
Fast ConvNets Using Group-wise Brain Damage V. Lebedev Victor Lempitsky AAML 184 449 0 08 Jun 2015
Deep Learning with Limited Numerical Precision Suyog Gupta A. Agrawal K. Gopalakrishnan P. Narayanan HAI 207 2,049 0 09 Feb 2015
Compressing Deep Convolutional Networks using Vector Quantization Yunchao Gong Liu Liu Ming Yang Lubomir D. Bourdev MQ 174 1,171 0 18 Dec 2014
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation Emily L. Denton Wojciech Zaremba Joan Bruna Yann LeCun Rob Fergus FAtt 179 1,693 0 02 Apr 2014