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
Structured Pruning of Recurrent Neural Networks through Neuron Selection Liangjiang Wen Xuanyang Zhang Haoli Bai Zenglin Xu 6 38 0 17 Jun 2019
Parameterized Structured Pruning for Deep Neural Networks Günther Schindler Wolfgang Roth Franz Pernkopf Holger Froening 16 6 0 12 Jun 2019
Data-Free Quantization Through Weight Equalization and Bias Correction Markus Nagel M. V. Baalen Tijmen Blankevoort Max Welling MQ 19 499 0 11 Jun 2019
Taxonomy of Saliency Metrics for Channel Pruning Kaveena Persand Andrew Anderson David Gregg 14 7 0 11 Jun 2019
The Generalization-Stability Tradeoff In Neural Network Pruning Brian Bartoldson Ari S. Morcos Adrian Barbu G. Erlebacher 14 72 0 09 Jun 2019
HGC: Hierarchical Group Convolution for Highly Efficient Neural Network Xukai Xie Yuan Zhou S. Kung 13 3 0 09 Jun 2019
AutoGrow: Automatic Layer Growing in Deep Convolutional Networks W. Wen Feng Yan Yiran Chen H. Li 10 38 0 07 Jun 2019
Butterfly Transform: An Efficient FFT Based Neural Architecture Design Keivan Alizadeh-Vahid Anish K. Prabhu Ali Farhadi Mohammad Rastegari 30 50 0 05 Jun 2019
Interpretable Neural Network Decoupling Yuchao Li Rongrong Ji Shaohui Lin Baochang Zhang Chenqian Yan Yongjian Wu Feiyue Huang Ling Shao 34 2 0 04 Jun 2019
Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness Adnan Siraj Rakin Zhezhi He Li Yang Yanzhi Wang Liqiang Wang Deliang Fan AAML 32 21 0 30 May 2019
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers Igor Fedorov Ryan P. Adams Matthew Mattina P. Whatmough 13 164 0 28 May 2019
RecNets: Channel-wise Recurrent Convolutional Neural Networks George Retsinas Athena Elafrou G. Goumas Petros Maragos 15 2 0 28 May 2019
Online Filter Clustering and Pruning for Efficient Convnets Zhengguang Zhou Wen-gang Zhou Richang Hong Houqiang Li 6 23 0 28 May 2019
Progressive Learning of Low-Precision Networks Zhengguang Zhou Wen-gang Zhou Xutao Lv Xuan Huang Xiaoyu Wang Houqiang Li MQ 26 11 0 28 May 2019
CompactNet: Platform-Aware Automatic Optimization for Convolutional Neural Networks Weicheng Li Rui Wang Zhongzhi Luan Di Huang Zidong Du Yunji Chen D. Qian 14 1 0 28 May 2019
OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks Jiashi Li Q. Qi Jingyu Wang Ce Ge Yujian Betterest Li Zhangzhang Yue Haifeng Sun BDL CML 19 53 0 28 May 2019
CGaP: Continuous Growth and Pruning for Efficient Deep Learning Xiaocong Du Zheng Li Yu Cao VLM 11 10 0 27 May 2019
Structured Compression by Weight Encryption for Unstructured Pruning and Quantization S. Kwon Dongsoo Lee Byeongwook Kim Parichay Kapoor Baeseong Park Gu-Yeon Wei MQ 11 48 0 24 May 2019
Network Pruning via Transformable Architecture Search Xuanyi Dong Yi Yang 3DPC 11 240 0 23 May 2019
DARC: Differentiable ARchitecture Compression Shashank Singh A. Khetan Zohar S. Karnin AI4CE 17 7 0 20 May 2019
EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis Chaoqi Wang Roger C. Grosse Sanja Fidler Guodong Zhang 23 121 0 15 May 2019
Network Pruning for Low-Rank Binary Indexing Dongsoo Lee S. Kwon Byeongwook Kim Parichay Kapoor Gu-Yeon Wei 14 6 0 14 May 2019
Lightweight Monocular Depth Estimation Model by Joint End-to-End Filter pruning Sara Elkerdawy Hong Zhang Nilanjan Ray MDE VLM 11 20 0 13 May 2019
Approximated Oracle Filter Pruning for Destructive CNN Width Optimization Xiaohan Ding Guiguang Ding Yuchen Guo J. Han C. Yan AAML 11 123 0 12 May 2019
Training CNNs with Selective Allocation of Channels Jongheon Jeong Jinwoo Shin CVBM 31 15 0 11 May 2019
Play and Prune: Adaptive Filter Pruning for Deep Model Compression Pravendra Singh Vinay K. Verma Piyush Rai Vinay P. Namboodiri VLM 25 71 0 11 May 2019
Creating Lightweight Object Detectors with Model Compression for Deployment on Edge Devices Yiwu Yao Weiqiang Yang Haoqi Zhu 21 0 0 06 May 2019
Full-stack Optimization for Accelerating CNNs with FPGA Validation Bradley McDanel S. Zhang H. T. Kung Xin Dong MQ 14 2 0 01 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
Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks Jaedeok Kim Chi-youn Park Hyungsik Jung Yoonsuck Choe 11 18 0 24 Apr 2019
Stochastic Region Pooling: Make Attention More Expressive Mingnan Luo Guihua Wen Yang Hu Dan Dai Yingxue Xu 23 6 0 22 Apr 2019
Model Compression with Multi-Task Knowledge Distillation for Web-scale Question Answering System Ze Yang Linjun Shou Ming Gong Wutao Lin Daxin Jiang KELM 9 19 0 21 Apr 2019
Data-Driven Neuron Allocation for Scale Aggregation Networks Yi Li Zhanghui Kuang Yimin Chen Wayne Zhang 29 26 0 20 Apr 2019
Complexer-YOLO: Real-Time 3D Object Detection and Tracking on Semantic Point Clouds Martin Simon Karl Amende Andrea Kraus J. Honer Timo Sämann Hauke Kaulbersch Stefan Milz H. Groß 3DPC 15 197 0 16 Apr 2019
Cramnet: Layer-wise Deep Neural Network Compression with Knowledge Transfer from a Teacher Network J. Hoffman 13 3 0 11 Apr 2019
ThumbNet: One Thumbnail Image Contains All You Need for Recognition Chen Zhao Bernard Ghanem 19 10 0 10 Apr 2019
Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks Eunwoo Kim Chanho Ahn Philip H. S. Torr Songhwai Oh 11 12 0 09 Apr 2019
Filter Pruning by Switching to Neighboring CNNs with Good Attributes Yang He Ping Liu Linchao Zhu Yi Yang VLM 16 45 0 08 Apr 2019
Centripetal SGD for Pruning Very Deep Convolutional Networks with Complicated Structure Xiaohan Ding Guiguang Ding Yuchen Guo J. Han 3DPC 10 181 0 08 Apr 2019
C2S2: Cost-aware Channel Sparse Selection for Progressive Network Pruning Chih-Yao Chiu Hwann-Tzong Chen Tyng-Luh Liu 6 0 0 06 Apr 2019
Prediction-Tracking-Segmentation Jianren Wang Yihui He Xiaobo Wang Xinjia Yu Xia Chen VOS 37 13 0 05 Apr 2019
T-Net: Parametrizing Fully Convolutional Nets with a Single High-Order Tensor Jean Kossaifi Adrian Bulat Georgios Tzimiropoulos M. Pantic 14 67 0 04 Apr 2019
Single Path One-Shot Neural Architecture Search with Uniform Sampling Zichao Guo Xiangyu Zhang Haoyuan Mu Wen Heng Zechun Liu Yichen Wei Jian-jun Sun 22 928 0 31 Mar 2019
Fully Learnable Group Convolution for Acceleration of Deep Neural Networks Xijun Wang Meina Kan Shiguang Shan Xilin Chen 19 71 0 31 Mar 2019
Adversarial Robustness vs Model Compression, or Both? Shaokai Ye Kaidi Xu Sijia Liu Jan-Henrik Lambrechts Huan Zhang Aojun Zhou Kaisheng Ma Yanzhi Wang Xue Lin AAML 11 163 0 29 Mar 2019
AutoSlim: Towards One-Shot Architecture Search for Channel Numbers Jiahui Yu Thomas Huang 26 56 0 27 Mar 2019
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning Zechun Liu Haoyuan Mu Xiangyu Zhang Zichao Guo Xin Yang K. Cheng Jian-jun Sun 15 554 0 25 Mar 2019
Accelerating Deep Unsupervised Domain Adaptation with Transfer Channel Pruning Chaohui Yu Jindong Wang Yiqiang Chen Zijing Wu 14 22 0 25 Mar 2019
MUSCO: Multi-Stage Compression of neural networks Julia Gusak Maksym Kholiavchenko E. Ponomarev L. Markeeva Ivan V. Oseledets A. Cichocki 11 9 0 24 Mar 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 30 38 0 23 Mar 2019