Learning Efficient Convolutional Networks through Network Slimming

22 August 2017

Gao Huang

Papers citing "Learning Efficient Convolutional Networks through Network Slimming"

50 / 327 papers shown

Title
AtomNAS: Fine-Grained End-to-End Neural Architecture Search Jieru Mei Yingwei Li Xiaochen Lian Xiaojie Jin Linjie Yang Alan Yuille Jianchao Yang 19 107 0 20 Dec 2019
Dynamic Convolution: Attention over Convolution Kernels Yinpeng Chen Xiyang Dai Mengchen Liu Dongdong Chen Lu Yuan Zicheng Liu 33 871 0 07 Dec 2019
Neural Network Pruning with Residual-Connections and Limited-Data Jian-Hao Luo Jianxin Wu 19 112 0 19 Nov 2019
AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results Kai Zhang Shuhang Gu Radu Timofte Zheng Hui Xiumei Wang ... Y. Niu Peijin Zhuo Xiangzhen Kong Long Sun Wenhao Wang SupR 36 53 0 04 Nov 2019
Decomposable-Net: Scalable Low-Rank Compression for Neural Networks A. Yaguchi Taiji Suzuki Shuhei Nitta Y. Sakata A. Tanizawa 19 9 0 29 Oct 2019
Fully Quantized Transformer for Machine Translation Gabriele Prato Ella Charlaix Mehdi Rezagholizadeh MQ 13 68 0 17 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
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
DASNet: Dynamic Activation Sparsity for Neural Network Efficiency Improvement Qing Yang Jiachen Mao Zuoguan Wang H. Li 21 15 0 13 Sep 2019
Differentiable Mask for Pruning Convolutional and Recurrent Networks R. Ramakrishnan Eyyub Sari V. Nia VLM 32 15 0 10 Sep 2019
Learning Filter Basis for Convolutional Neural Network Compression Yawei Li Shuhang Gu Luc Van Gool Radu Timofte SupR 17 5 0 23 Aug 2019
Adaptative Inference Cost With Convolutional Neural Mixture Models Adria Ruiz Jakob Verbeek VLM 30 22 0 19 Aug 2019
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks Xiaohan Ding Yuchen Guo Guiguang Ding J. Han 31 662 0 11 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 29 45 0 10 Aug 2019
MoBiNet: A Mobile Binary Network for Image Classification Hai T. Phan Dang T. Huynh Yihui He Marios Savvides Zhiqiang Shen MQ 36 49 0 29 Jul 2019
SlimYOLOv3: Narrower, Faster and Better for Real-Time UAV Applications Pengyi Zhang Yunxin Zhong Xiaoqiong Li 26 198 0 25 Jul 2019
Bringing Giant Neural Networks Down to Earth with Unlabeled Data Yehui Tang Shan You Chang Xu Boxin Shi Chao Xu 24 11 0 13 Jul 2019
And the Bit Goes Down: Revisiting the Quantization of Neural Networks Pierre Stock Armand Joulin Rémi Gribonval Benjamin Graham Hervé Jégou MQ 37 149 0 12 Jul 2019
A Targeted Acceleration and Compression Framework for Low bit Neural Networks Biao Qian Yang Wang MQ 35 0 0 09 Jul 2019
Importance Estimation for Neural Network Pruning Pavlo Molchanov Arun Mallya Stephen Tyree I. Frosio Jan Kautz 3DPC 36 857 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 24 71 0 25 Jun 2019
Parameterized Structured Pruning for Deep Neural Networks Günther Schindler Wolfgang Roth Franz Pernkopf Holger Froening 24 6 0 12 Jun 2019
Making CNNs for Video Parsing Accessible Zijin Luo Matthew J. Guzdial Mark O. Riedl 24 9 0 10 Jun 2019
Uncertainty-guided Continual Learning with Bayesian Neural Networks Sayna Ebrahimi Mohamed Elhoseiny Trevor Darrell Marcus Rohrbach CLL BDL 21 195 0 06 Jun 2019
Interpretable Neural Network Decoupling Yuchao Li Rongrong Ji Shaohui Lin Baochang Zhang Chenqian Yan Yongjian Wu Feiyue Huang Ling Shao 37 2 0 04 Jun 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 24 53 0 28 May 2019
CGaP: Continuous Growth and Pruning for Efficient Deep Learning Xiaocong Du Zheng Li Yu Cao VLM 21 10 0 27 May 2019
Lightweight Network Architecture for Real-Time Action Recognition Alexander Kozlov Vadim Andronov Y. Gritsenko ViT 25 33 0 21 May 2019
Dynamic Neural Network Channel Execution for Efficient Training Simeon E. Spasov Pietro Lio 19 4 0 15 May 2019
Training CNNs with Selective Allocation of Channels Jongheon Jeong Jinwoo Shin CVBM 39 15 0 11 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
DocBERT: BERT for Document Classification Ashutosh Adhikari Achyudh Ram Raphael Tang Jimmy J. Lin LLMAG VLM 13 296 0 17 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
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
Max-plus Operators Applied to Filter Selection and Model Pruning in Neural Networks Yunxiang Zhang S. Blusseau Santiago Velasco-Forero Isabelle Bloch Jesús Angulo 20 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
The State of Sparsity in Deep Neural Networks Trevor Gale Erich Elsen Sara Hooker 33 745 0 25 Feb 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
Parameter Efficient Training of Deep Convolutional Neural Networks by Dynamic Sparse Reparameterization Hesham Mostafa Xin Wang 37 307 0 15 Feb 2019
Towards Compact ConvNets via Structure-Sparsity Regularized Filter Pruning Shaohui Lin Rongrong Ji Yuchao Li Cheng Deng Xuelong Li 25 70 0 23 Jan 2019
Slimmable Neural Networks Jiahui Yu L. Yang N. Xu Jianchao Yang Thomas Huang 38 548 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
Reliable Identification of Redundant Kernels for Convolutional Neural Network Compression Wei Wang Liqiang Zhu CVBM 20 13 0 10 Dec 2018
On Implicit Filter Level Sparsity in Convolutional Neural Networks Dushyant Mehta K. Kim Christian Theobalt 22 27 0 29 Nov 2018
MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices C. Duong Kha Gia Quach Ibsa Jalata Nghia T. Nguyen Khoa Luu CVBM 3DH 30 58 0 27 Nov 2018
Dense xUnit Networks I. Kligvasser T. Michaeli 21 3 0 27 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
HAQ: Hardware-Aware Automated Quantization with Mixed Precision Kuan-Chieh Jackson Wang Zhijian Liu Yujun Lin Ji Lin Song Han MQ 71 872 0 21 Nov 2018
RePr: Improved Training of Convolutional Filters Aaditya (Adi) Prakash J. Storer D. Florêncio Cha Zhang VLM CVBM 35 57 0 18 Nov 2018