Channel Pruning for Accelerating Very Deep Neural Networks

19 July 2017

Xiangyu Zhang

Papers citing "Channel Pruning for Accelerating Very Deep Neural Networks"

50 / 1,090 papers shown

Title
Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-based Approach Haichuan Yang Shupeng Gui Yuhao Zhu Ji Liu MQ 20 5 0 14 Oct 2019
Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent Dilin Wang Meng Li Lemeng Wu Vikas Chandra Qiang Liu 41 20 0 07 Oct 2019
Privacy Preserving Stochastic Channel-Based Federated Learning with Neural Network Pruning Rulin Shao Hui Liu Dianbo Liu 15 10 0 04 Oct 2019
Learning Efficient Convolutional Networks through Irregular Convolutional Kernels Weiyu Guo Jiabin Ma Liang Wang Yongzhen Huang 9 5 0 29 Sep 2019
Training convolutional neural networks with cheap convolutions and online distillation Jiao Xie Shaohui Lin Yichen Zhang Linkai Luo 19 12 0 28 Sep 2019
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks Xiaohan Ding Guiguang Ding Xiangxin Zhou Yuchen Guo Jungong Han Ji Liu 11 162 0 27 Sep 2019
Pruning from Scratch Yulong Wang Xiaolu Zhang Lingxi Xie Jun Zhou Hang Su Bo-Wen Zhang Xiaolin Hu 17 191 0 27 Sep 2019
Reducing Transformer Depth on Demand with Structured Dropout Angela Fan Edouard Grave Armand Joulin 22 584 0 25 Sep 2019
Balancing Specialization, Generalization, and Compression for Detection and Tracking Dotan Kaufman Koby Bibas Eran Borenstein Michael Chertok Tal Hassner MQ 7 8 0 25 Sep 2019
Forward and Backward Information Retention for Accurate Binary Neural Networks Haotong Qin Ruihao Gong Xianglong Liu Mingzhu Shen Ziran Wei F. Yu Jingkuan Song MQ 131 324 0 24 Sep 2019
Structured Binary Neural Networks for Image Recognition Bohan Zhuang Chunhua Shen Mingkui Tan Peng Chen Lingqiao Liu Ian Reid MQ 22 17 0 22 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
Towards Efficient and Secure Delivery of Data for Deep Learning with Privacy-Preserving Juncheng Shen Juzheng Liu Yiran Chen H. Li FedML 11 6 0 17 Sep 2019
Complexity-Scalable Neural Network Based MIMO Detection With Learnable Weight Scaling A. Mohammad C. Masouros Y. Andreopoulos 16 28 0 12 Sep 2019
New Perspective of Interpretability of Deep Neural Networks Masanari Kimura Masayuki Tanaka AAML FAtt FaML AI4CE 12 5 0 12 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
Understanding the Effects of Pre-Training for Object Detectors via Eigenspectrum Yosuke Shinya E. Simo-Serra Taiji Suzuki 19 12 0 09 Sep 2019
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices Xiaolong Ma Fu-Ming Guo Wei Niu Xue Lin Jian Tang Kaisheng Ma Bin Ren Yanzhi Wang CVBM 22 173 0 06 Sep 2019
PSDNet and DPDNet: Efficient channel expansion, Depthwise-Pointwise-Depthwise Inverted Bottleneck Block Guoqing Li Meng Zhang Qianru Zhang Ziyang Chen Wenzhao Liu Jiaojie Li Xuzhao Shen Jian Li Zhenyu Zhu Chau Yuen 18 5 0 03 Sep 2019
DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures Huanrui Yang W. Wen H. Li 14 96 0 27 Aug 2019
Patient Knowledge Distillation for BERT Model Compression S. Sun Yu Cheng Zhe Gan Jingjing Liu 49 827 0 25 Aug 2019
Learning Filter Basis for Convolutional Neural Network Compression Yawei Li Shuhang Gu Luc Van Gool Radu Timofte SupR 14 11 0 23 Aug 2019
Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural Networks Yanzhao Wu Ling Liu Juhyun Bae Ka-Ho Chow Arun Iyengar C. Pu Wenqi Wei Lei Yu Qi Zhang 14 70 0 18 Aug 2019
HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions Duo Li Aojun Zhou Anbang Yao 21 39 0 11 Aug 2019
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Orest Kupyn T. Martyniuk Junru Wu Zhangyang Wang 3DV 17 874 0 10 Aug 2019
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations Bohan Zhuang Jing Liu Mingkui Tan Lingqiao Liu Ian Reid Chunhua Shen MQ 26 44 0 10 Aug 2019
Recent Advances in Deep Learning for Object Detection Xiongwei Wu Doyen Sahoo S. Hoi VLM ObjD 32 798 0 10 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
Efficient Inference of CNNs via Channel Pruning Boyu Zhang A. Davoodi Y. Hu CVBM 16 6 0 08 Aug 2019
Exploiting Channel Similarity for Accelerating Deep Convolutional Neural Networks Yunxiang Zhang Chenglong Zhao Bingbing Ni Jian Zhang Haoran Deng 25 2 0 06 Aug 2019
Distributed Deep Convolutional Neural Networks for the Internet-of-Things Simone Disabato M. Roveri Cesare Alippi 16 47 0 02 Aug 2019
Accelerating CNN Training by Pruning Activation Gradients Xucheng Ye Pengcheng Dai Junyu Luo Xin Guo Weisheng Zhao Jianlei Yang Yiran Chen 6 2 0 01 Aug 2019
MoBiNet: A Mobile Binary Network for Image Classification Hai T. Phan Dang T. Huynh Yihui He Marios Savvides Zhiqiang Shen MQ 36 48 0 29 Jul 2019
Dense Feature Aggregation and Pruning for RGBT Tracking Yabin Zhu Chenglong Li B. Luo Jin Tang Tianlin Li 21 178 0 24 Jul 2019
BPPSA: Scaling Back-propagation by Parallel Scan Algorithm Shang Wang Yifan Bai Gennady Pekhimenko 12 6 0 23 Jul 2019
Compact Global Descriptor for Neural Networks Xiangyu He Ke Cheng Qiang Chen Qinghao Hu Peisong Wang Jian Cheng 31 8 0 23 Jul 2019
EnSyth: A Pruning Approach to Synthesis of Deep Learning Ensembles Besher Alhalabi M. Gaber S. Basurra 14 3 0 22 Jul 2019
Batch-Shaping for Learning Conditional Channel Gated Networks B. Bejnordi Tijmen Blankevoort Max Welling AI4CE 20 76 0 15 Jul 2019
Bringing Giant Neural Networks Down to Earth with Unlabeled Data Yehui Tang Shan You Chang Xu Boxin Shi Chao Xu 16 11 0 13 Jul 2019
Dual Dynamic Inference: Enabling More Efficient, Adaptive and Controllable Deep Inference Yue Wang Jianghao Shen Ting-Kuei Hu Pengfei Xu T. Nguyen Richard Baraniuk Zhangyang Wang Yingyan Lin 11 75 0 10 Jul 2019
Data-Independent Neural Pruning via Coresets Ben Mussay Margarita Osadchy Vladimir Braverman Samson Zhou Dan Feldman 6 60 0 09 Jul 2019
EPNAS: Efficient Progressive Neural Architecture Search Yanqi Zhou Peng Wang Sercan Ö. Arik Haonan Yu Syed Zawad Feng Yan G. Diamos 19 5 0 07 Jul 2019
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates Ning Liu Xiaolong Ma Zhiyuan Xu Yanzhi Wang Jian Tang Jieping Ye 35 183 0 06 Jul 2019
Exploiting Prunability for Person Re-Identification Hugo Masson Amran Bhuiyan Le Thanh Nguyen-Meidine Mehrsan Javan P. Siva Ismail Ben Ayed Eric Granger 11 8 0 04 Jul 2019
Non-Structured DNN Weight Pruning -- Is It Beneficial in Any Platform? Xiaolong Ma Sheng Lin Shaokai Ye Zhezhi He Linfeng Zhang ... Deliang Fan Xuehai Qian X. Lin Kaisheng Ma Yanzhi Wang MQ 19 92 0 03 Jul 2019
Importance Estimation for Neural Network Pruning Pavlo Molchanov Arun Mallya Stephen Tyree I. Frosio Jan Kautz 3DPC 10 856 0 25 Jun 2019
COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning Wenxiao Wang Cong Fu Jishun Guo Deng Cai Xiaofei He VLM 16 71 0 25 Jun 2019
Progressive Gradient Pruning for Classification, Detection and DomainAdaptation Le Thanh Nguyen-Meidine Eric Granger M. Kiran Louis-Antoine Blais-Morin M. Pedersoli VLM 11 2 0 20 Jun 2019
GAN-Knowledge Distillation for one-stage Object Detection Wanwei Wang Jin ke Yu Fan Zong ObjD 14 28 0 20 Jun 2019
A One-step Pruning-recovery Framework for Acceleration of Convolutional Neural Networks Dong Wang Lei Zhou Xiao Bai Jun Zhou 14 2 0 18 Jun 2019