Dep- $L_0$ : Improving $L_0$ -based Network Sparsification via Dependency Modeling

30 June 2021

Papers citing "Dep-$L_0$: Improving $L_0$-based Network Sparsification via Dependency Modeling"

34 / 34 papers shown

Title
HRank: Filter Pruning using High-Rank Feature Map Mingbao Lin Rongrong Ji Yan Wang Yichen Zhang Baochang Zhang Yonghong Tian Ling Shao 77 728 0 24 Feb 2020
Lookahead: A Far-Sighted Alternative of Magnitude-based Pruning Sejun Park Jaeho Lee Sangwoo Mo Jinwoo Shin 46 94 0 12 Feb 2020
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks Xiaohan Ding Guiguang Ding Xiangxin Zhou Yuchen Guo Jungong Han Ji Liu 67 165 0 27 Sep 2019
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks Zhonghui You Kun Yan Jinmian Ye Meng Ma Ping Wang 3DPC 72 251 0 18 Sep 2019
Importance Estimation for Neural Network Pruning Pavlo Molchanov Arun Mallya Stephen Tyree I. Frosio Jan Kautz 3DPC 81 885 0 25 Jun 2019
Network Pruning via Transformable Architecture Search Xuanyi Dong Yi Yang 3DPC 72 243 0 23 May 2019
Approximated Oracle Filter Pruning for Destructive CNN Width Optimization Xiaohan Ding Guiguang Ding Yuchen Guo Jiawei Han C. Yan AAML 60 125 0 12 May 2019
$L_0$ -ARM: Network Sparsification via Stochastic Binary Optimization Yang Li Shihao Ji MQ 49 15 0 09 Apr 2019
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning Shaohui Lin Rongrong Ji Chenqian Yan Baochang Zhang Liujuan Cao QiXiang Ye Feiyue Huang David Doermann CVBM 53 510 0 22 Mar 2019
The State of Sparsity in Deep Neural Networks Trevor Gale Erich Elsen Sara Hooker 161 762 0 25 Feb 2019
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration Yang He Ping Liu Ziwei Wang Zhilan Hu Yi Yang AAML 3DPC 96 1,049 0 01 Nov 2018
Discrimination-aware Channel Pruning for Deep Neural Networks Zhuangwei Zhuang Mingkui Tan Bohan Zhuang Jing Liu Yong Guo Qingyao Wu Junzhou Huang Jin-Hui Zhu 121 601 0 28 Oct 2018
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks Yang He Guoliang Kang Xuanyi Dong Yanwei Fu Yi Yang AAML VLM 69 965 0 21 Aug 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices Yihui He Ji Lin Zhijian Liu Hanrui Wang Li Li Song Han 98 1,349 0 10 Feb 2018
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers Jianbo Ye Xin Lu Zhe Lin Jianmin Wang 74 408 0 01 Feb 2018
Learning Sparse Neural Networks through $L_0$ Regularization Christos Louizos Max Welling Diederik P. Kingma 436 1,147 0 04 Dec 2017
To prune, or not to prune: exploring the efficacy of pruning for model compression Michael Zhu Suyog Gupta 197 1,281 0 05 Oct 2017
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
Data-Driven Sparse Structure Selection for Deep Neural Networks Zehao Huang Naiyan Wang 83 563 0 05 Jul 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
Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures Hengyuan Hu Rui Peng Yu-Wing Tai Chi-Keung Tang 75 891 0 12 Jul 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 351 8,000 0 23 May 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 289 4,807 0 04 Jan 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 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
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 364 19,733 0 09 Mar 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 465 43,341 0 11 Feb 2015
Deep Learning with Limited Numerical Precision Suyog Gupta A. Agrawal K. Gopalakrishnan P. Narayanan HAI 207 2,049 0 09 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,312 0 22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,508 0 04 Sep 2014
Speeding up Convolutional Neural Networks with Low Rank Expansions Max Jaderberg Andrea Vedaldi Andrew Zisserman 132 1,465 0 15 May 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

Dep-L0L_0L0​: Improving L0L_0L0​-based Network Sparsification via Dependency Modeling

Papers citing "Dep-$L_0$: Improving $L_0$-based Network Sparsification via Dependency Modeling"

Dep- $L_0$ : Improving $L_0$ -based Network Sparsification via Dependency Modeling