Pruning Filters for Efficient ConvNets

31 August 2016

Hao Li

Papers citing "Pruning Filters for Efficient ConvNets"

50 / 1,579 papers shown

Title
LeanResNet: A Low-cost Yet Effective Convolutional Residual Networks Jonathan Ephrath Lars Ruthotto E. Haber Eran Treister 23 4 0 15 Apr 2019
Cramnet: Layer-wise Deep Neural Network Compression with Knowledge Transfer from a Teacher Network J. Hoffman 20 3 0 11 Apr 2019
Knowledge Squeezed Adversarial Network Compression Changyong Shu Li Peng Xie Yuan Yanyun Qu Longquan Dai Lizhuang Ma GAN 45 11 0 10 Apr 2019
ThumbNet: One Thumbnail Image Contains All You Need for Recognition Chen Zhao Guohao Li 24 10 0 10 Apr 2019
Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks Eunwoo Kim Chanho Ahn Philip Torr Songhwai Oh 29 12 0 09 Apr 2019
$L_0$ -ARM: Network Sparsification via Stochastic Binary Optimization Yang Li Shihao Ji MQ 24 15 0 09 Apr 2019
Filter Pruning by Switching to Neighboring CNNs with Good Attributes Yang He Ping Liu Linchao Zhu Yi Yang VLM 24 46 0 08 Apr 2019
Centripetal SGD for Pruning Very Deep Convolutional Networks with Complicated Structure Xiaohan Ding Guiguang Ding Yuchen Guo Jiawei Han 3DPC 28 181 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
T-Net: Parametrizing Fully Convolutional Nets with a Single High-Order Tensor Jean Kossaifi Adrian Bulat Georgios Tzimiropoulos Maja Pantic 22 67 0 04 Apr 2019
Super accurate low latency object detection on a surveillance UAV Maarten Vandersteegen Kristof Van Beeck Toon Goedemé 32 20 0 03 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
Fully Learnable Group Convolution for Acceleration of Deep Neural Networks Xijun Wang Meina Kan Shiguang Shan Xilin Chen 37 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 25 163 0 29 Mar 2019
Distilling Task-Specific Knowledge from BERT into Simple Neural Networks Raphael Tang Yao Lu Linqing Liu Lili Mou Olga Vechtomova Jimmy J. Lin 32 417 0 28 Mar 2019
AutoSlim: Towards One-Shot Architecture Search for Channel Numbers Jiahui Yu Thomas Huang 34 56 0 27 Mar 2019
How Can We Be So Dense? The Benefits of Using Highly Sparse Representations Subutai Ahmad Luiz Scheinkman 33 96 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 Sun 26 556 0 25 Mar 2019
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning Shaohui Lin Rongrong Ji Chenqian Yan Baochang Zhang Liujuan Cao QiXiang Ye Feiyue Huang David Doermann CVBM 22 505 0 22 Mar 2019
Max-plus Operators Applied to Filter Selection and Model Pruning in Neural Networks Yunxiang Zhang S. Blusseau Santiago Velasco-Forero Isabelle Bloch Jesús Angulo 29 26 0 19 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
Cascaded Projection: End-to-End Network Compression and Acceleration Breton L. Minnehan Andreas E. Savakis 21 26 0 12 Mar 2019
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs Pravendra Singh Vinay Kumar Verma Piyush Rai Vinay P. Namboodiri 34 94 0 11 Mar 2019
Stabilizing the Lottery Ticket Hypothesis Jonathan Frankle Gintare Karolina Dziugaite Daniel M. Roy Michael Carbin 27 103 0 05 Mar 2019
Collaborative Spatio-temporal Feature Learning for Video Action Recognition Chong Li Qiaoyong Zhong Di Xie Shiliang Pu 27 82 0 04 Mar 2019
Speeding up convolutional networks pruning with coarse ranking Zehao Wang Chengcheng Li Dali Wang Xiangyang Wang Hairong Qi 15 0 0 18 Feb 2019
Single-shot Channel Pruning Based on Alternating Direction Method of Multipliers Chengcheng Li Zehao Wang Xiangyang Wang Hairong Qi 19 5 0 18 Feb 2019
Parameter Efficient Training of Deep Convolutional Neural Networks by Dynamic Sparse Reparameterization Hesham Mostafa Xin Wang 37 307 0 15 Feb 2019
Fast-SCNN: Fast Semantic Segmentation Network Rudra P. K. Poudel Stephan Liwicki R. Cipolla SSeg 18 506 0 12 Feb 2019
Effective Network Compression Using Simulation-Guided Iterative Pruning Dae-Woong Jeong Jaehun Kim Youngseok Kim Tae-Ho Kim Myungsu Chae 30 0 0 12 Feb 2019
Model Compression with Adversarial Robustness: A Unified Optimization Framework Shupeng Gui Haotao Wang Chen Yu Haichuan Yang Zhangyang Wang Ji Liu MQ 19 137 0 10 Feb 2019
Improved Knowledge Distillation via Teacher Assistant Seyed Iman Mirzadeh Mehrdad Farajtabar Ang Li Nir Levine Akihiro Matsukawa H. Ghasemzadeh 53 1,067 0 09 Feb 2019
FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary Yingzhen Yang Jiahui Yu Nebojsa Jojic Jun Huan Thomas S. Huang 11 17 0 08 Feb 2019
Radial and Directional Posteriors for Bayesian Neural Networks Changyong Oh Kamil Adamczewski Mijung Park BDL 31 20 0 07 Feb 2019
On Correlation of Features Extracted by Deep Neural Networks B. Ayinde T. Inanc J. Zurada 27 25 0 30 Jan 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 88 0 26 Jan 2019
Ablation Studies in Artificial Neural Networks Richard Meyes Melanie Lu Constantin Waubert de Puiseau Tobias Meisen 16 210 0 24 Jan 2019
Real-time Scene Segmentation Using a Light Deep Neural Network Architecture for Autonomous Robot Navigation on Construction Sites Khashayar Asadi Pengyu Chen Kevin K. Han Tianfu Wu Edgar J. Lobaton SSeg 17 16 0 24 Jan 2019
Really should we pruning after model be totally trained? Pruning based on a small amount of training Li Yue Zhao Weibin Shang-Te Lin VLM 17 5 0 24 Jan 2019
Towards Compact ConvNets via Structure-Sparsity Regularized Filter Pruning Shaohui Lin Rongrong Ji Yuchao Li Cheng Deng Xuelong Li 35 70 0 23 Jan 2019
Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going Erwei Wang James J. Davis Ruizhe Zhao Ho-Cheung Ng Xinyu Niu Wayne Luk P. Cheung George A. Constantinides 24 59 0 21 Jan 2019
How Compact?: Assessing Compactness of Representations through Layer-Wise Pruning Hyun-Joo Jung Jaedeok Kim Yoonsuck Choe 21 1 0 09 Jan 2019
Low-Cost Transfer Learning of Face Tasks T. John Isha Dua V. Balasubramanian C. V. Jawahar CLIP CVBM VLM 13 0 0 09 Jan 2019
Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning Deepak Mittal S. Bhardwaj Mitesh M. Khapra Balaraman Ravindran 3DPC 36 31 0 26 Dec 2018
Slimmable Neural Networks Jiahui Yu L. Yang N. Xu Jianchao Yang Thomas Huang 38 548 0 21 Dec 2018
SQuantizer: Simultaneous Learning for Both Sparse and Low-precision Neural Networks M. Park Xiaofang Xu C. Brick MQ 27 8 0 20 Dec 2018
Adam Induces Implicit Weight Sparsity in Rectifier Neural Networks A. Yaguchi Taiji Suzuki Wataru Asano Shuhei Nitta Y. Sakata A. Tanizawa 6 18 0 19 Dec 2018
A Layer Decomposition-Recomposition Framework for Neuron Pruning towards Accurate Lightweight Networks Weijie Chen Yuan Zhang Di Xie Shiliang Pu 30 13 0 17 Dec 2018
A Low Effort Approach to Structured CNN Design Using PCA Isha Garg Priyadarshini Panda Kaushik Roy 35 62 0 15 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