Dynamic Network Surgery for Efficient DNNs

16 August 2016

Papers citing "Dynamic Network Surgery for Efficient DNNs"

50 / 167 papers shown

Title
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks Xiaohan Ding Guiguang Ding Xiangxin Zhou Yuchen Guo Jungong Han Ji Liu 20 162 0 27 Sep 2019
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks Zhonghui You Kun Yan Jinmian Ye Meng Ma Ping Wang 3DPC 19 246 0 18 Sep 2019
Differentiable Mask for Pruning Convolutional and Recurrent Networks R. Ramakrishnan Eyyub Sari V. Nia VLM 45 15 0 10 Sep 2019
Image Captioning with Sparse Recurrent Neural Network J. Tan Chee Seng Chan Joon Huang Chuah VLM 29 6 0 28 Aug 2019
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks Xiaohan Ding Yuchen Guo Guiguang Ding Jiawei Han 31 662 0 11 Aug 2019
Distilling Knowledge From a Deep Pose Regressor Network Muhamad Risqi U. Saputra Pedro Porto Buarque de Gusmão Yasin Almalioglu Andrew Markham A. Trigoni 25 102 0 02 Aug 2019
DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks Simon Wiedemann H. Kirchhoffer Stefan Matlage Paul Haase Arturo Marbán ... Ahmed Osman D. Marpe H. Schwarz Thomas Wiegand Wojciech Samek 54 93 0 27 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
Sparse Networks from Scratch: Faster Training without Losing Performance Tim Dettmers Luke Zettlemoyer 20 334 0 10 Jul 2019
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates Ning Liu Xiaolong Ma Zhiyuan Xu Yanzhi Wang Jian Tang Jieping Ye 43 185 0 06 Jul 2019
COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning Wenxiao Wang Cong Fu Jishun Guo Deng Cai Xiaofei He VLM 27 71 0 25 Jun 2019
ADA-Tucker: Compressing Deep Neural Networks via Adaptive Dimension Adjustment Tucker Decomposition Zhisheng Zhong Fangyin Wei Zhouchen Lin Chao Zhang 32 29 0 18 Jun 2019
Parameterized Structured Pruning for Deep Neural Networks Günther Schindler Wolfgang Roth Franz Pernkopf Holger Froening 26 6 0 12 Jun 2019
Weight Agnostic Neural Networks Adam Gaier David R Ha OOD 40 240 0 11 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 16 228 0 06 Jun 2019
CGaP: Continuous Growth and Pruning for Efficient Deep Learning Xiaocong Du Zheng Li Yu Cao VLM 29 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 35 49 0 24 May 2019
Pruning-Aware Merging for Efficient Multitask Inference Xiaoxi He Dawei Gao Zimu Zhou Yongxin Tong Lothar Thiele MoMe 37 8 0 23 May 2019
Training CNNs with Selective Allocation of Channels Jongheon Jeong Jinwoo Shin CVBM 41 15 0 11 May 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 Xinyu Lin Yongpan Liu Yanzhi Wang MQ 38 38 0 23 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
A Brain-inspired Algorithm for Training Highly Sparse Neural Networks Zahra Atashgahi Joost Pieterse Shiwei Liu Decebal Constantin Mocanu Raymond N. J. Veldhuis Mykola Pechenizkiy 40 15 0 17 Mar 2019
Partial Order Pruning: for Best Speed/Accuracy Trade-off in Neural Architecture Search Xuzhao Li Yiming Zhou Zheng Pan Jiashi Feng 3DV 30 158 0 09 Mar 2019
Focused Quantization for Sparse CNNs Yiren Zhao Xitong Gao Daniel Bates Robert D. Mullins Chengzhong Xu MQ 23 26 0 07 Mar 2019
The State of Sparsity in Deep Neural Networks Trevor Gale Erich Elsen Sara Hooker 33 747 0 25 Feb 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 Xinyu Lin Yanzhi Wang MQ 40 161 0 31 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
Entropy-Constrained Training of Deep Neural Networks Simon Wiedemann Arturo Marbán K. Müller Wojciech Samek 27 27 0 18 Dec 2018
Dense xUnit Networks I. Kligvasser T. Michaeli 24 3 0 27 Nov 2018
Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference Edward Chou Josh Beal Daniel Levy Serena Yeung Albert Haque Li Fei-Fei 32 198 0 25 Nov 2018
Hybrid Pruning: Thinner Sparse Networks for Fast Inference on Edge Devices Xiaofang Xu M. Park C. Brick 23 26 0 01 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 36 1,040 0 01 Nov 2018
NestDNN: Resource-Aware Multi-Tenant On-Device Deep Learning for Continuous Mobile Vision Biyi Fang Xiao Zeng Mi Zhang 3DH 34 264 0 23 Oct 2018
Sparse DNNs with Improved Adversarial Robustness Yiwen Guo Chao Zhang Changshui Zhang Yurong Chen AAML 25 151 0 23 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 Xinyu Lin Yanzhi Wang AI4CE 37 38 0 17 Oct 2018
Dynamic Channel Pruning: Feature Boosting and Suppression Xitong Gao Yiren Zhao Łukasz Dudziak Robert D. Mullins Chengzhong Xu 42 311 0 12 Oct 2018
SNIP: Single-shot Network Pruning based on Connection Sensitivity Namhoon Lee Thalaiyasingam Ajanthan Philip Torr VLM 114 1,180 0 04 Oct 2018
To compress or not to compress: Understanding the Interactions between Adversarial Attacks and Neural Network Compression Yiren Zhao Ilia Shumailov Robert D. Mullins Ross J. Anderson AAML 19 43 0 29 Sep 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 22 29 0 26 Apr 2018
Non-Vacuous Generalization Bounds at the ImageNet Scale: A PAC-Bayesian Compression Approach Wenda Zhou Victor Veitch Morgane Austern Ryan P. Adams Peter Orbanz 46 211 0 16 Apr 2018
A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers Tianyun Zhang Shaokai Ye Kaiqi Zhang Jian Tang Wujie Wen M. Fardad Yanzhi Wang 30 434 0 10 Apr 2018
Distribution-Aware Binarization of Neural Networks for Sketch Recognition Ameya Prabhu Vishal Batchu Sri Aurobindo Munagala Rohit Gajawada A. Namboodiri MQ 27 5 0 09 Apr 2018
Deep Neural Network Compression with Single and Multiple Level Quantization Yuhui Xu Yongzhuang Wang Aojun Zhou Weiyao Lin H. Xiong MQ 20 114 0 06 Mar 2018
Compressing Neural Networks using the Variational Information Bottleneck Bin Dai Chen Zhu David Wipf MLT 28 179 0 28 Feb 2018
Recurrent Residual Module for Fast Inference in Videos Bowen Pan Wuwei Lin Xiaolin Fang Chaoqin Huang Bolei Zhou Cewu Lu ObjD 28 33 0 27 Feb 2018
Deep Defense: Training DNNs with Improved Adversarial Robustness Ziang Yan Yiwen Guo Changshui Zhang AAML 38 109 0 23 Feb 2018
A Scalable Near-Memory Architecture for Training Deep Neural Networks on Large In-Memory Datasets Fabian Schuiki Michael Schaffner Frank K. Gürkaynak Luca Benini 31 70 0 19 Feb 2018
Re-Weighted Learning for Sparsifying Deep Neural Networks Igor Fedorov Bhaskar D. Rao 24 1 0 05 Feb 2018
Learning to Prune Filters in Convolutional Neural Networks Qiangui Huang S. Kevin Zhou Suya You Ulrich Neumann VLM 28 177 0 23 Jan 2018