Learning Structured Sparsity in Deep Neural Networks

12 August 2016

Yiran Chen

Papers citing "Learning Structured Sparsity in Deep Neural Networks"

50 / 331 papers shown

Title
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
Toward Extremely Low Bit and Lossless Accuracy in DNNs with Progressive ADMM Sheng Lin Xiaolong Ma Shaokai Ye Geng Yuan Kaisheng Ma Yanzhi Wang MQ 25 10 0 02 May 2019
Towards Efficient Model Compression via Learned Global Ranking Ting-Wu Chin Ruizhou Ding Cha Zhang Diana Marculescu 16 170 0 28 Apr 2019
Model Slicing for Supporting Complex Analytics with Elastic Inference Cost and Resource Constraints Shaofeng Cai Gang Chen Beng Chin Ooi Jinyang Gao 25 19 0 03 Apr 2019
Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM Shaokai Ye Xiaoyu Feng Tianyun Zhang Xiaolong Ma Sheng Lin ... Jian Tang M. Fardad X. Lin Yongpan Liu Yanzhi Wang MQ 38 38 0 23 Mar 2019
All You Need is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification Weijie Chen Di Xie Yuan Zhang Shiliang Pu 30 80 0 13 Mar 2019
Unsupervised Data Imputation via Variational Inference of Deep Subspaces Adrian V. Dalca John Guttag M. Sabuncu DRL 23 13 0 08 Mar 2019
CircConv: A Structured Convolution with Low Complexity Siyu Liao Zhe Li Liang Zhao Qinru Qiu Yanzhi Wang Bo Yuan 19 18 0 28 Feb 2019
Parameter Efficient Training of Deep Convolutional Neural Networks by Dynamic Sparse Reparameterization Hesham Mostafa Xin Wang 37 307 0 15 Feb 2019
CodeX: Bit-Flexible Encoding for Streaming-based FPGA Acceleration of DNNs Mohammad Samragh Mojan Javaheripi F. Koushanfar 30 11 0 17 Jan 2019
ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers Ao Ren Tianyun Zhang Shaokai Ye Jiayu Li Wenyao Xu Xuehai Qian X. Lin Yanzhi Wang MQ 34 161 0 31 Dec 2018
ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation Xiaoliang Dai Peizhao Zhang Bichen Wu Hongxu Yin Fei Sun ... Yiming Wu Yangqing Jia Peter Vajda M. Uyttendaele N. Jha 33 272 0 21 Dec 2018
Slimmable Neural Networks Jiahui Yu L. Yang N. Xu Jianchao Yang Thomas Huang 22 547 0 21 Dec 2018
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression Yuchao Li Shaohui Lin Baochang Zhang Jianzhuang Liu David Doermann Yongjian Wu Feiyue Huang Rongrong Ji 43 130 0 11 Dec 2018
Pre-Defined Sparse Neural Networks with Hardware Acceleration Sourya Dey Kuan-Wen Huang P. Beerel K. Chugg 41 24 0 04 Dec 2018
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network Sachin Mehta Mohammad Rastegari Linda G. Shapiro Hannaneh Hajishirzi VLM 29 392 0 28 Nov 2018
Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference Edward Chou Josh Beal Daniel Levy Serena Yeung Albert Haque Li Fei-Fei 26 198 0 25 Nov 2018
Efficient Structured Pruning and Architecture Searching for Group Convolution Ruizhe Zhao Wayne Luk 45 16 0 23 Nov 2018
Structured Pruning of Neural Networks with Budget-Aware Regularization Carl Lemaire Andrew Achkar Pierre-Marc Jodoin 27 92 0 23 Nov 2018
Regularizing by the Variance of the Activations' Sample-Variances Etai Littwin Lior Wolf VLM 20 12 0 21 Nov 2018
Gradient-Coherent Strong Regularization for Deep Neural Networks Dae Hoon Park C. Ho Yi Chang Huaqing Zhang ODL 13 1 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 23 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 33 177 0 08 Nov 2018
Demystifying Neural Network Filter Pruning Zhuwei Qin Fuxun Yu Adam Lesnikowski Xiang Chen 22 5 0 29 Oct 2018
Progressive Weight Pruning of Deep Neural Networks using ADMM Shaokai Ye Tianyun Zhang Kaiqi Zhang Jiayu Li Kaidi Xu ... M. Fardad Sijia Liu Xiang Chen X. Lin Yanzhi Wang AI4CE 37 38 0 17 Oct 2018
Dynamic Channel Pruning: Feature Boosting and Suppression Xitong Gao Yiren Zhao L. Dudziak Robert D. Mullins Chengzhong Xu 42 311 0 12 Oct 2018
Rethinking the Value of Network Pruning Zhuang Liu Mingjie Sun Tinghui Zhou Gao Huang Trevor Darrell 10 1,449 0 11 Oct 2018
SNIP: Single-shot Network Pruning based on Connection Sensitivity Namhoon Lee Thalaiyasingam Ajanthan Philip Torr VLM 14 1,171 0 04 Oct 2018
MBS: Macroblock Scaling for CNN Model Reduction Yu-Hsun Lin Chun-Nan Chou Edward Y. Chang MQ 16 4 0 18 Sep 2018
2PFPCE: Two-Phase Filter Pruning Based on Conditional Entropy Chuhan Min Aosen Wang Yiran Chen Wenyao Xu Xin Chen 22 41 0 06 Sep 2018
Self-Supervised Model Adaptation for Multimodal Semantic Segmentation Abhinav Valada Rohit Mohan Wolfram Burgard SSL 25 241 0 11 Aug 2018
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design Ningning Ma Xiangyu Zhang Haitao Zheng Jian Sun 51 4,926 0 30 Jul 2018
Filter Distillation for Network Compression Xavier Suau Luca Zappella N. Apostoloff 24 38 0 20 Jul 2018
FINN-L: Library Extensions and Design Trade-off Analysis for Variable Precision LSTM Networks on FPGAs Vladimir Rybalkin Alessandro Pappalardo M. M. Ghaffar Giulio Gambardella Norbert Wehn Michaela Blott 13 72 0 11 Jul 2018
Doubly Nested Network for Resource-Efficient Inference Jaehong Kim Sungeun Hong Yongseok Choi Jiwon Kim 21 5 0 20 Jun 2018
PCAS: Pruning Channels with Attention Statistics for Deep Network Compression Kohei Yamamoto K. Maeno 24 32 0 14 Jun 2018
Scalable Neural Network Compression and Pruning Using Hard Clustering and L1 Regularization Yibo Yang Nicholas Ruozzi Vibhav Gogate 21 2 0 14 Jun 2018
Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors S. Ghosh Jiayu Yao Finale Doshi-Velez BDL UQCV 15 77 0 13 Jun 2018
Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking Haichuan Yang Yuhao Zhu Ji Liu CVBM 19 36 0 12 Jun 2018
MPDCompress - Matrix Permutation Decomposition Algorithm for Deep Neural Network Compression Lazar Supic R. Naous Ranko Sredojevic Aleksandra Faust Vladimir M. Stojanović 19 4 0 30 May 2018
Quantization Mimic: Towards Very Tiny CNN for Object Detection Yi Wei Xinyu Pan Hongwei Qin Wanli Ouyang Junjie Yan ObjD 22 88 0 06 May 2018
Sparse Persistent RNNs: Squeezing Large Recurrent Networks On-Chip Feiwen Zhu Jeff Pool M. Andersch J. Appleyard Fung Xie 19 29 0 26 Apr 2018
Accelerator-Aware Pruning for Convolutional Neural Networks Hyeong-Ju Kang 11 88 0 26 Apr 2018
Measuring the Intrinsic Dimension of Objective Landscapes Chunyuan Li Heerad Farkhoor Rosanne Liu J. Yosinski 26 397 0 24 Apr 2018
Parameter Transfer Unit for Deep Neural Networks Yinghua Zhang Yu Zhang Qiang Yang 11 22 0 23 Apr 2018
Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling Liyuan Liu Xiang Ren Jingbo Shang Jian-wei Peng Jiawei Han 25 44 0 20 Apr 2018
IGCV $2$ : Interleaved Structured Sparse Convolutional Neural Networks Guotian Xie Jingdong Wang Ting Zhang Jianhuang Lai Richang Hong Guo-Jun Qi 16 105 0 17 Apr 2018
Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds Cenk Baykal Lucas Liebenwein Igor Gilitschenski Dan Feldman Daniela Rus 25 79 0 15 Apr 2018
The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking Dawei Du Yuankai Qi Hongyang Yu Yi-Fan Yang Kaiwen Duan Guorong Li Feiyu Xiong Qingming Huang Q. Tian 36 650 0 26 Mar 2018
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation Sachin Mehta Mohammad Rastegari A. Caspi Linda G. Shapiro Hannaneh Hajishirzi SSeg 43 777 0 19 Mar 2018