SASL: Saliency-Adaptive Sparsity Learning for Neural Network Acceleration

12 March 2020

Papers citing "SASL: Saliency-Adaptive Sparsity Learning for Neural Network Acceleration"

45 / 45 papers shown

Title
HRank: Filter Pruning using High-Rank Feature Map Mingbao Lin Rongrong Ji Yan Wang Yichen Zhang Baochang Zhang Yonghong Tian Ling Shao 62 724 0 24 Feb 2020
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks Xiaohan Ding Guiguang Ding Xiangxin Zhou Yuchen Guo Jungong Han Ji Liu 48 164 0 27 Sep 2019
DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures Huanrui Yang W. Wen H. Li 40 97 0 27 Aug 2019
Importance Estimation for Neural Network Pruning Pavlo Molchanov Arun Mallya Stephen Tyree I. Frosio Jan Kautz 3DPC 76 879 0 25 Jun 2019
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers Ari S. Morcos Haonan Yu Michela Paganini Yuandong Tian 56 229 0 06 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 51 53 0 28 May 2019
Centripetal SGD for Pruning Very Deep Convolutional Networks with Complicated Structure Xiaohan Ding Guiguang Ding Yuchen Guo Jiawei Han 3DPC 49 182 0 08 Apr 2019
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning Zechun Liu Haoyuan Mu Xiangyu Zhang Zichao Guo Xin Yang K. Cheng Jian Sun 71 559 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 53 507 0 22 Mar 2019
Structured Pruning of Neural Networks with Budget-Aware Regularization Carl Lemaire Andrew Achkar Pierre-Marc Jodoin 61 94 0 23 Nov 2018
Structured Pruning for Efficient ConvNets via Incremental Regularization Huan Wang Qiming Zhang Yuehai Wang Haoji Hu 3DPC 68 45 0 20 Nov 2018
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration Yang He Ping Liu Ziwei Wang Zhilan Hu Yi Yang AAML 3DPC 87 1,048 0 01 Nov 2018
Discrimination-aware Channel Pruning for Deep Neural Networks Zhuangwei Zhuang Mingkui Tan Bohan Zhuang Jing Liu Yong Guo Qingyao Wu Junzhou Huang Jin-Hui Zhu 107 598 0 28 Oct 2018
Layer-compensated Pruning for Resource-constrained Convolutional Neural Networks Ting-Wu Chin Cha Zhang Diana Marculescu 57 46 0 01 Oct 2018
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks Yang He Guoliang Kang Xuanyi Dong Yanwei Fu Yi Yang AAML VLM 60 963 0 21 Aug 2018
Accelerator-Aware Pruning for Convolutional Neural Networks Hyeong-Ju Kang 61 90 0 26 Apr 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle Michael Carbin 204 3,457 0 09 Mar 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices Yihui He Ji Lin Zhijian Liu Hanrui Wang Li Li Song Han 86 1,348 0 10 Feb 2018
Learning to Prune Filters in Convolutional Neural Networks Qiangui Huang S. Kevin Zhou Suya You Ulrich Neumann VLM 77 177 0 23 Jan 2018
Learning Sparse Neural Networks through $L_0$ Regularization Christos Louizos Max Welling Diederik P. Kingma 351 1,144 0 04 Dec 2017
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks A. Gordon Elad Eban Ofir Nachum Bo Chen Hao Wu Tien-Ju Yang Edward Choi 61 337 0 18 Nov 2017
NISP: Pruning Networks using Neuron Importance Score Propagation Ruichi Yu Ang Li Chun-Fu Chen Jui-Hsin Lai Vlad I. Morariu Xintong Han M. Gao Ching-Yung Lin L. Davis 70 799 0 16 Nov 2017
Learning Efficient Convolutional Networks through Network Slimming Zhuang Liu Jianguo Li Zhiqiang Shen Gao Huang Shoumeng Yan Changshui Zhang 122 2,418 0 22 Aug 2017
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression Jian-Hao Luo Jianxin Wu Weiyao Lin 52 1,760 0 20 Jul 2017
Channel Pruning for Accelerating Very Deep Neural Networks Yihui He Xiangyu Zhang Jian Sun 196 2,521 0 19 Jul 2017
Data-Driven Sparse Structure Selection for Deep Neural Networks Zehao Huang Naiyan Wang 81 561 0 05 Jul 2017
Variational Dropout Sparsifies Deep Neural Networks Dmitry Molchanov Arsenii Ashukha Dmitry Vetrov BDL 119 827 0 19 Jan 2017
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 314 4,624 0 10 Nov 2016
Designing Neural Network Architectures using Reinforcement Learning Bowen Baker O. Gupta Nikhil Naik Ramesh Raskar 107 1,469 0 07 Nov 2016
Pruning Filters for Efficient ConvNets Hao Li Asim Kadav Igor Durdanovic H. Samet H. Graf 3DPC 188 3,693 0 31 Aug 2016
Learning Structured Sparsity in Deep Neural Networks W. Wen Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 156 2,337 0 12 Aug 2016
Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures Hengyuan Hu Rui Peng Yu-Wing Tai Chi-Keung Tang 60 891 0 12 Jul 2016
R-FCN: Object Detection via Region-based Fully Convolutional Networks Jifeng Dai Yi Li Kaiming He Jian Sun ObjD 150 5,635 0 20 May 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 563 37,806 0 20 May 2016
Training Region-based Object Detectors with Online Hard Example Mining Abhinav Shrivastava Abhinav Gupta Ross B. Girshick ObjD 143 2,415 0 12 Apr 2016
Deep Networks with Stochastic Depth Gao Huang Yu Sun Zhuang Liu Daniel Sedra Kilian Q. Weinberger 191 2,352 0 30 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.9K 193,426 0 10 Dec 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 233 8,821 0 01 Oct 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 465 62,122 0 04 Jun 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 280 18,587 0 06 Feb 2015
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Patrick Murphy Alan Yuille SSeg 150 4,888 0 22 Dec 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 401 43,589 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.4K 100,213 0 04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.4K 39,472 0 01 Sep 2014
Network In Network Min Lin Qiang Chen Shuicheng Yan 273 6,274 0 16 Dec 2013