Learning the Number of Neurons in Deep Networks

19 November 2016

Papers citing "Learning the Number of Neurons in Deep Networks"

50 / 204 papers shown

Title
A "Network Pruning Network" Approach to Deep Model Compression Vinay Kumar Verma Pravendra Singh Vinay P. Namboodiri Piyush Rai 3DPC VLM 22 8 0 15 Jan 2020
Discrimination-aware Network Pruning for Deep Model Compression Jing Liu Bohan Zhuang Zhuangwei Zhuang Yong Guo Junzhou Huang Jin-Hui Zhu Mingkui Tan CVBM 19 119 0 04 Jan 2020
Lossless Compression of Deep Neural Networks Thiago Serra Abhinav Kumar Srikumar Ramalingam 24 56 0 01 Jan 2020
Domain Adaptation Regularization for Spectral Pruning Laurent Dillard Yosuke Shinya Taiji Suzuki 19 1 0 26 Dec 2019
Computationally Efficient Neural Image Compression Nick Johnston Elad Eban A. Gordon Johannes Ballé 12 53 0 18 Dec 2019
$$\ell_0$ Regularized Structured Sparsity Convolutional Neural Networks$ $\ell_0$ Regularized Structured Sparsity Convolutional Neural Networks Kevin Bui Fredrick Park Shuai Zhang Y. Qi Jack Xin 23 0 0 17 Dec 2019
An Improving Framework of regularization for Network Compression E. Zhenqian Weiguo Gao AI4CE 16 0 0 11 Dec 2019
Sparsely Grouped Input Variables for Neural Networks Beibin Li Nicholas Nuechterlein E. Barney C. Hudac P. Ventola Linda G. Shapiro Frederick Shic 16 1 0 29 Nov 2019
Indirect Local Attacks for Context-aware Semantic Segmentation Networks K. K. Nakka Mathieu Salzmann SSeg AAML 14 31 0 29 Nov 2019
Deep Learning at the Edge Sahar Voghoei N. Tonekaboni Jason G. Wallace H. Arabnia 15 41 0 22 Oct 2019
Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks Yihui He Jianing Qian Jianren Wang Cindy X. Le Congrui Hetang Qi Lyu Wenping Wang Tianwei Yue 48 11 0 21 Oct 2019
Efficiency through Auto-Sizing: Notre Dame NLP's Submission to the WNGT 2019 Efficiency Task Kenton W. Murray Brian DuSell David Chiang 11 2 0 16 Oct 2019
Training CNNs faster with Dynamic Input and Kernel Downsampling Zissis Poulos A. Nouri Andreas Moshovos 14 0 0 15 Oct 2019
DEVDAN: Deep Evolving Denoising Autoencoder Andri Ashfahani Mahardhika Pratama E. Lughofer Yew-Soon Ong 20 98 0 08 Oct 2019
Differentiable Sparsification for Deep Neural Networks Yognjin Lee 22 7 0 08 Oct 2019
Biologically-Inspired Spatial Neural Networks Zhiqing Zhang Jacek Tabor Marek Śmieja Szymon Maszke 16 3 0 07 Oct 2019
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks Xiaohan Ding Guiguang Ding Xiangxin Zhou Yuchen Guo Jungong Han Ji Liu 13 162 0 27 Sep 2019
BEAN: Interpretable Representation Learning with Biologically-Enhanced Artificial Neuronal Assembly Regularization Yuyang Gao Giorgio Ascoli Liang Zhao 23 15 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 16 246 0 18 Sep 2019
VACL: Variance-Aware Cross-Layer Regularization for Pruning Deep Residual Networks Shuang Gao Xin Liu Lung-Sheng Chien William Zhang J. Álvarez VLM 3DPC 16 15 0 10 Sep 2019
DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures Huanrui Yang W. Wen H. Li 16 96 0 27 Aug 2019
Learning Filter Basis for Convolutional Neural Network Compression Yawei Li Shuhang Gu Luc Van Gool Radu Timofte SupR 17 5 0 23 Aug 2019
Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Chaithanya Kumar Mummadi Tim Genewein Dan Zhang Thomas Brox Volker Fischer 32 3 0 09 Aug 2019
Refining the Structure of Neural Networks Using Matrix Conditioning Roozbeh Yousefzadeh D. O’Leary 14 4 0 06 Aug 2019
Bringing Giant Neural Networks Down to Earth with Unlabeled Data Yehui Tang Shan You Chang Xu Boxin Shi Chao Xu 24 11 0 13 Jul 2019
Progressive Gradient Pruning for Classification, Detection and DomainAdaptation Le Thanh Nguyen-Meidine Eric Granger M. Kiran Louis-Antoine Blais-Morin M. Pedersoli VLM 13 2 0 20 Jun 2019
Parameterized Structured Pruning for Deep Neural Networks Günther Schindler Wolfgang Roth Franz Pernkopf Holger Froening 24 6 0 12 Jun 2019
Distilling Object Detectors with Fine-grained Feature Imitation Tao Wang Li-xin Yuan Xiaopeng Zhang Jiashi Feng ObjD 13 377 0 09 Jun 2019
NodeDrop: A Condition for Reducing Network Size without Effect on Output Louis Jensen Jacob A. Harer S. Chin 8 0 0 03 Jun 2019
Separable Layers Enable Structured Efficient Linear Substitutions Gavia Gray Elliot J. Crowley Amos Storkey 27 3 0 03 Jun 2019
Equivalent and Approximate Transformations of Deep Neural Networks Abhinav Kumar Thiago Serra Srikumar Ramalingam 12 21 0 27 May 2019
Network Pruning via Transformable Architecture Search Xuanyi Dong Yi Yang 3DPC 23 240 0 23 May 2019
Approximated Oracle Filter Pruning for Destructive CNN Width Optimization Xiaohan Ding Guiguang Ding Yuchen Guo J. Han C. Yan AAML 21 124 0 12 May 2019
Play and Prune: Adaptive Filter Pruning for Deep Model Compression Pravendra Singh Vinay Kumar Verma Piyush Rai Vinay P. Namboodiri VLM 33 71 0 11 May 2019
$$S^{2}$-LBI: Stochastic Split Linearized Bregman Iterations for Parsimonious Deep Learning$ $S^{2}$ -LBI: Stochastic Split Linearized Bregman Iterations for Parsimonious Deep Learning Yanwei Fu Donghao Li Xinwei Sun Shun Zhang Yizhou Wang Yuan Yao 33 0 0 24 Apr 2019
Data-Driven Neuron Allocation for Scale Aggregation Networks Yi Li Zhanghui Kuang Yimin Chen Wayne Zhang 29 26 0 20 Apr 2019
Centripetal SGD for Pruning Very Deep Convolutional Networks with Complicated Structure Xiaohan Ding Guiguang Ding Yuchen Guo J. Han 3DPC 20 181 0 08 Apr 2019
C2S2: Cost-aware Channel Sparse Selection for Progressive Network Pruning Chih-Yao Chiu Hwann-Tzong Chen Tyng-Luh Liu 11 0 0 06 Apr 2019
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning Zechun Liu Haoyuan Mu Xiangyu Zhang Zichao Guo Xin Yang K. Cheng Jian Sun 26 554 0 25 Mar 2019
PruneTrain: Fast Neural Network Training by Dynamic Sparse Model Reconfiguration Sangkug Lym Esha Choukse Siavash Zangeneh W. Wen Sujay Sanghavi M. Erez CVBM 12 87 0 26 Jan 2019
A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference Kumar Shridhar F. Laumann Marcus Liwicki BDL UQCV 18 170 0 08 Jan 2019
$Transformed $\ell_1$ Regularization for Learning Sparse Deep Neural Networks$ Transformed $\ell_1$ Regularization for Learning Sparse Deep Neural Networks Rongrong Ma Jianyu Miao Lingfeng Niu Peng Zhang 17 6 0 04 Jan 2019
A Layer Decomposition-Recomposition Framework for Neuron Pruning towards Accurate Lightweight Networks Weijie Chen Yuan Zhang Di Xie Shiliang Pu 22 13 0 17 Dec 2018
A Main/Subsidiary Network Framework for Simplifying Binary Neural Network Yinghao Xu Xin Dong Yudian Li Hao Su 27 27 0 11 Dec 2018
Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization Siyuan Qiao Zhe-nan Lin Jianming Zhang Alan Yuille 8 23 0 02 Dec 2018
Accelerate CNN via Recursive Bayesian Pruning Yuefu Zhou Ya Zhang Yanfeng Wang Qi Tian BDL 20 58 0 02 Dec 2018
Leveraging Filter Correlations for Deep Model Compression Pravendra Singh Vinay Kumar Verma Piyush Rai Vinay P. Namboodiri 13 65 0 26 Nov 2018
ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks Shuxuan Guo J. Álvarez Mathieu Salzmann 21 77 0 26 Nov 2018
Stability Based Filter Pruning for Accelerating Deep CNNs Pravendra Singh Vinay Sameer Raja Kadi N. Verma Vinay P. Namboodiri CVBM 10 26 0 20 Nov 2018
Gradient-Coherent Strong Regularization for Deep Neural Networks Dae Hoon Park C. Ho Yi Chang Huaqing Zhang ODL 15 1 0 20 Nov 2018