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Fast ConvNets Using Group-wise Brain Damage

8 June 2015

Papers citing "Fast ConvNets Using Group-wise Brain Damage"

50 / 211 papers shown

Title
Structured Pruning for Efficient ConvNets via Incremental Regularization Huan Wang Qiming Zhang Yuehai Wang Haoji Hu 3DPC 105 45 0 20 Nov 2018
Multi-layer Pruning Framework for Compressing Single Shot MultiBox Detector Pravendra Singh Manikandan Ravikiran Neeraj Matiyali Vinay P. Namboodiri 69 21 0 20 Nov 2018
Stability Based Filter Pruning for Accelerating Deep CNNs Pravendra Singh Vinay Sameer Raja Kadi N. Verma Vinay P. Namboodiri CVBM 69 26 0 20 Nov 2018
Three Dimensional Convolutional Neural Network Pruning with Regularization-Based Method Yu-xin Zhang Huan Wang Yang Luo Lu Yu Roland Hu Hangguan Shan Tony Q. S. Quek 3DPC 53 11 0 19 Nov 2018
A First Look at Deep Learning Apps on Smartphones Mengwei Xu Jiawei Liu Yuanqiang Liu F. Lin Yunxin Liu Xuanzhe Liu HAI 91 183 0 08 Nov 2018
CNN inference acceleration using dictionary of centroids D.Babin I.Mazurenko D.Parkhomenko A.Voloshko MQ 24 0 0 19 Oct 2018
Efficient architecture for deep neural networks with heterogeneous sensitivity Hyunjoong Cho Jinhyeok Jang Chanhyeok Lee Seungjoon Yang 37 0 0 12 Oct 2018
Rethinking the Value of Network Pruning Zhuang Liu Mingjie Sun Tinghui Zhou Gao Huang Trevor Darrell 44 1,480 0 11 Oct 2018
Deep Asymmetric Networks with a Set of Node-wise Variant Activation Functions Jinhyeok Jang Hyunjoong Cho Jaehong Kim Jaeyeon Lee Seungjoon Yang 20 2 0 11 Sep 2018
Learning Sparse Low-Precision Neural Networks With Learnable Regularization Yoojin Choi Mostafa El-Khamy Jungwon Lee MQ 66 31 0 01 Sep 2018
Predefined Sparseness in Recurrent Sequence Models T. Demeester Johannes Deleu Fréderic Godin Chris Develder 25 3 0 27 Aug 2018
Spectral Pruning: Compressing Deep Neural Networks via Spectral Analysis and its Generalization Error Taiji Suzuki Hiroshi Abe Tomoya Murata Shingo Horiuchi Kotaro Ito Tokuma Wachi So Hirai Masatoshi Yukishima Tomoaki Nishimura MLT 62 10 0 26 Aug 2018
Asymptotic Soft Filter Pruning for Deep Convolutional Neural Networks Yang He Xuanyi Dong Guoliang Kang Yanwei Fu C. Yan Yi Yang 118 135 0 22 Aug 2018
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks Yang He Guoliang Kang Xuanyi Dong Yanwei Fu Yi Yang AAML VLM 98 966 0 21 Aug 2018
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks Dongqing Zhang Jiaolong Yang Dongqiangzi Ye G. Hua MQ 74 703 0 26 Jul 2018
Impostor Networks for Fast Fine-Grained Recognition V. Lebedev Artem Babenko Victor Lempitsky 26 3 0 13 Jun 2018
EasyConvPooling: Random Pooling with Easy Convolution for Accelerating Training and Testing Jianzhong Sheng Chuanbo Chen Chenchen Fu Chun Jason Xue 82 5 0 05 Jun 2018
Targeted Kernel Networks: Faster Convolutions with Attentive Regularization Kashyap Chitta 24 2 0 01 Jun 2018
AutoPruner: An End-to-End Trainable Filter Pruning Method for Efficient Deep Model Inference Jian-Hao Luo Jianxin Wu 75 210 0 23 May 2018
Compression of Deep Convolutional Neural Networks under Joint Sparsity Constraints Yoojin Choi Mostafa El-Khamy Jungwon Lee 40 6 0 21 May 2018
Recurrent knowledge distillation S. Pintea Yue Liu Jan van Gemert ODL 21 2 0 18 May 2018
Low-memory convolutional neural networks through incremental depth-first processing Jonathan Binas Yoshua Bengio SupR 39 3 0 28 Apr 2018
Accelerator-Aware Pruning for Convolutional Neural Networks Hyeong-Ju Kang 93 90 0 26 Apr 2018
Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds Cenk Baykal Lucas Liebenwein Igor Gilitschenski Dan Feldman Daniela Rus 95 79 0 15 Apr 2018
Efficient Hardware Realization of Convolutional Neural Networks using Intra-Kernel Regular Pruning Maurice Yang Mahmoud Faraj Assem Hussein V. Gaudet CVBM 64 12 0 15 Mar 2018
Exploring Linear Relationship in Feature Map Subspace for ConvNets Compression Dong Wang Lei Zhou Xueni Zhang Xiao Bai Jun Zhou 75 47 0 15 Mar 2018
Paraphrasing Complex Network: Network Compression via Factor Transfer Jangho Kim Seonguk Park Nojun Kwak 95 551 0 14 Feb 2018
From Hashing to CNNs: Training BinaryWeight Networks via Hashing Qinghao Hu Peisong Wang Jian Cheng MQ 88 98 0 08 Feb 2018
Universal Deep Neural Network Compression Yoojin Choi Mostafa El-Khamy Jungwon Lee MQ 151 88 0 07 Feb 2018
Recent Advances in Efficient Computation of Deep Convolutional Neural Networks Jian Cheng Peisong Wang Gang Li Qinghao Hu Hanqing Lu 49 3 0 03 Feb 2018
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers Jianbo Ye Xin Lu Zhe Lin Jianmin Wang 102 408 0 01 Feb 2018
Deep Net Triage: Analyzing the Importance of Network Layers via Structural Compression Theodore S. Nowak Jason J. Corso FAtt 40 3 0 15 Jan 2018
StrassenNets: Deep Learning with a Multiplication Budget Michael Tschannen Aran Khanna Anima Anandkumar 52 30 0 11 Dec 2017
WSNet: Compact and Efficient Networks Through Weight Sampling Xiaojie Jin Yingzhen Yang N. Xu Jianchao Yang Nebojsa Jojic Jiashi Feng Shuicheng Yan 49 2 0 28 Nov 2017
Deep Expander Networks: Efficient Deep Networks from Graph Theory Ameya Prabhu G. Varma A. Namboodiri GNN 130 72 0 23 Nov 2017
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks A. Gordon Elad Eban Ofir Nachum Bo Chen Hao Wu Tien-Ju Yang Edward Choi 87 339 0 18 Nov 2017
Towards Effective Low-bitwidth Convolutional Neural Networks Bohan Zhuang Chunhua Shen Mingkui Tan Lingqiao Liu Ian Reid MQ 98 233 0 01 Nov 2017
A Survey of Model Compression and Acceleration for Deep Neural Networks Yu Cheng Duo Wang Pan Zhou Zhang Tao 150 1,101 0 23 Oct 2017
To prune, or not to prune: exploring the efficacy of pruning for model compression Michael Zhu Suyog Gupta 204 1,285 0 05 Oct 2017
Learning Intrinsic Sparse Structures within Long Short-Term Memory W. Wen Yuxiong He Samyam Rajbhandari Minjia Zhang Wenhan Wang Fang Liu Bin Hu Yiran Chen H. Li MQ 135 142 0 15 Sep 2017
The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings Tomer Galanti Lior Wolf Sagie Benaim 91 25 0 31 Aug 2017
Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization Frederick Tung S. Muralidharan Greg Mori 72 36 0 28 Jul 2017
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression Jian-Hao Luo Jianxin Wu Weiyao Lin 63 1,763 0 20 Jul 2017
Channel Pruning for Accelerating Very Deep Neural Networks Yihui He Xiangyu Zhang Jian Sun 226 2,538 0 19 Jul 2017
Scalable Training of Artificial Neural Networks with Adaptive Sparse Connectivity inspired by Network Science Decebal Constantin Mocanu Elena Mocanu Peter Stone Phuong H. Nguyen M. Gibescu A. Liotta 192 641 0 15 Jul 2017
Exploring the Regularity of Sparse Structure in Convolutional Neural Networks Huizi Mao Song Han Jeff Pool Wenshuo Li Xingyu Liu Yu Wang W. Dally 133 244 0 24 May 2017
Structured Bayesian Pruning via Log-Normal Multiplicative Noise Kirill Neklyudov Dmitry Molchanov Arsenii Ashukha Dmitry Vetrov BDL 149 189 0 20 May 2017
Coordinating Filters for Faster Deep Neural Networks W. Wen Cong Xu Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 64 138 0 28 Mar 2017
More is Less: A More Complicated Network with Less Inference Complexity Xuanyi Dong Junshi Huang Yi Yang Shuicheng Yan 85 288 0 25 Mar 2017
Enabling Sparse Winograd Convolution by Native Pruning Sheng Li Jongsoo Park P. T. P. Tang 63 51 0 28 Feb 2017