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Dynamic Network Surgery for Efficient DNNs

16 August 2016

Yiwen Guo

Anbang Yao

Yurong Chen

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Papers citing "Dynamic Network Surgery for Efficient DNNs"

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Title
Ex uno plures: Splitting One Model into an Ensemble of Subnetworks Zhilu Zhang Vianne R. Gao M. Sabuncu UQCV 125 6 0 09 Jun 2021
Dynamic Sparse Training for Deep Reinforcement Learning Ghada Sokar Elena Mocanu Decebal Constantin Mocanu Mykola Pechenizkiy Peter Stone 196 64 0 08 Jun 2021
Feature Flow Regularization: Improving Structured Sparsity in Deep Neural Networks Yue Wu Yuan Lan Luchan Zhang Yang Xiang 79 7 0 05 Jun 2021
1xN Pattern for Pruning Convolutional Neural Networks Mingbao Lin Yu-xin Zhang Yuchao Li Bohong Chen Yong Li Mengdi Wang Shen Li Yonghong Tian Rongrong Ji 3DPC 205 46 0 31 May 2021
DTNN: Energy-efficient Inference with Dendrite Tree Inspired Neural Networks for Edge Vision Applications Yaoyu Zhang Wai Teng Tang Matthew Kay Fei Lee Chuping Qu Weng-Fai Wong Rick Siow Mong Goh 86 0 0 25 May 2021
Livewired Neural Networks: Making Neurons That Fire Together Wire Together Thomas Schumacher 103 4 0 17 May 2021
BWCP: Probabilistic Learning-to-Prune Channels for ConvNets via Batch Whitening Wenqi Shao Hang Yu Zhaoyang Zhang Hang Xu Zhenguo Li Ping Luo AAML 40 2 0 13 May 2021
EZCrop: Energy-Zoned Channels for Robust Output Pruning R. Lin Jie Ran Dongpeng Wang King Hung Chiu Ngai Wong 87 8 0 08 May 2021
Modulating Regularization Frequency for Efficient Compression-Aware Model Training Dongsoo Lee S. Kwon Byeongwook Kim Jeongin Yun Baeseong Park Yongkweon Jeon 73 0 0 05 May 2021
Q-Rater: Non-Convex Optimization for Post-Training Uniform Quantization Byeongwook Kim Dongsoo Lee Yeonju Ro Yongkweon Jeon S. Kwon Baeseong Park Daehwan Oh MQ 88 1 0 05 May 2021
Effective Sparsification of Neural Networks with Global Sparsity Constraint Xiao Zhou Weizhong Zhang Hang Xu Tong Zhang 207 66 0 03 May 2021
Stealthy Backdoors as Compression Artifacts Yulong Tian Fnu Suya Fengyuan Xu David Evans 124 26 0 30 Apr 2021
Learning on Hardware: A Tutorial on Neural Network Accelerators and Co-Processors Lukas Baischer M. Wess N. Taherinejad 131 15 0 19 Apr 2021
Lottery Jackpots Exist in Pre-trained Models Yuxin Zhang Mingbao Lin Yan Wang Yong Li Rongrong Ji 229 17 0 18 Apr 2021
High Performance Convolution Using Sparsity and Patterns for Inference in Deep Convolutional Neural Networks Hossam Amer Ahmed H. Salamah A. Sajedi En-Hui Yang 89 6 0 16 Apr 2021
Distilling Object Detectors via Decoupled Features Jianyuan Guo Kai Han Yunhe Wang Han Wu Xinghao Chen Chunjing Xu Chang Xu 143 215 0 26 Mar 2021
Recent Advances in Large Margin Learning Yiwen Guo Changshui Zhang AAML AI4CE 180 15 0 25 Mar 2021
Compacting Deep Neural Networks for Internet of Things: Methods and Applications Ke Zhang Hanbo Ying Hongning Dai Lin Li Yuangyuang Peng Keyi Guo Hongfang Yu 138 42 0 20 Mar 2021
Recent Advances on Neural Network Pruning at Initialization Huan Wang Can Qin Yue Bai Yulun Zhang Yun Fu CVBM 129 75 0 11 Mar 2021
Embedded Knowledge Distillation in Depth-Level Dynamic Neural Network Qi Zhao Shuchang Lyu Zhiwei Zhang Ting-Bing Xu Guangliang Cheng 117 2 0 01 Mar 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout Samuel Horváth Stefanos Laskaridis Mario Almeida Ilias Leondiadis Stylianos I. Venieris Nicholas D. Lane 482 305 0 26 Feb 2021
An Information-Theoretic Justification for Model Pruning Berivan Isik Tsachy Weissman Albert No 226 38 0 16 Feb 2021
Neural Network Compression for Noisy Storage Devices Berivan Isik Kristy Choi Xin-Yang Zheng Tsachy Weissman Stefano Ermon H. P. Wong Armin Alaghi 106 13 0 15 Feb 2021
RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNsInternational Conference on 3D Vision (3DV), 2025 Zhiwei Xu Thalaiyasingam Ajanthan Vibhav Vineet Leonid Sigal 135 3 0 09 Feb 2021
Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch Aojun Zhou Yukun Ma Junnan Zhu Jianbo Liu Zhijie Zhang Kun Yuan Wenxiu Sun Hongsheng Li 308 262 0 08 Feb 2021
SeReNe: Sensitivity based Regularization of Neurons for Structured Sparsity in Neural Networks Enzo Tartaglione Andrea Bragagnolo Francesco Odierna Attilio Fiandrotti Marco Grangetto 113 19 0 07 Feb 2021
Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning Sixing Yu Arya Mazaheri Ali Jannesari 138 45 0 05 Feb 2021
Machine Learning for the Detection and Identification of Internet of Things (IoT) Devices: A Survey Yongxin Liu Jian Wang Jianqiang Li Shuteng Niu Haoze Song 143 150 0 25 Jan 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 336 783 0 24 Jan 2021
Network Pruning using Adaptive Exemplar Filters Mingbao Lin Rongrong Ji Shaojie Li Yan Wang Yongjian Wu Feiyue Huang QiXiang Ye VLM 88 59 0 20 Jan 2021
Network Automatic Pruning: Start NAP and Take a Nap Wenyuan Zeng Yuwen Xiong R. Urtasun 70 9 0 17 Jan 2021
Single-path Bit Sharing for Automatic Loss-aware Model Compression Jing Liu Bohan Zhuang Peng Chen Chunhua Shen Jianfei Cai Mingkui Tan MQ 70 12 0 13 Jan 2021
Enabling Retrain-free Deep Neural Network Pruning using Surrogate Lagrangian Relaxation Deniz Gurevin Shangli Zhou Lynn Pepin Bingbing Li Mikhail A. Bragin Caiwen Ding Fei Miao 67 3 0 18 Dec 2020
Learn-Prune-Share for Lifelong Learning Zifeng Wang T. Jian Kaushik R. Chowdhury Yanzhi Wang Jennifer Dy Stratis Ioannidis KELM CLL 98 40 0 13 Dec 2020
Robustness and Transferability of Universal Attacks on Compressed Models Alberto G. Matachana Kenneth T. Co Luis Muñoz-González David Martínez Emil C. Lupu AAML 95 11 0 10 Dec 2020
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework Sung-En Chang Yanyu Li Mengshu Sun Runbin Shi Hayden Kwok-Hay So Xuehai Qian Yanzhi Wang Xue Lin MQ 135 93 0 08 Dec 2020
The Role of Regularization in Shaping Weight and Node Pruning Dependency and Dynamics Yael Ben-Guigui Jacob Goldberger Tammy Riklin-Raviv 114 0 0 07 Dec 2020
Any-Width Networks Thanh Tien Vu Marc Eder True Price Jan-Michael Frahm 105 8 0 06 Dec 2020
NPAS: A Compiler-aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration Zhengang Li Geng Yuan Wei Niu Pu Zhao Yanyu Li ... Sijia Liu Kaiyuan Yang Bin Ren Yanzhi Wang Xue Lin MQ 190 27 0 01 Dec 2020
Improving Neural Network with Uniform Sparse Connectivity Weijun Luo 43 6 0 29 Nov 2020
FreezeNet: Full Performance by Reduced Storage CostsAsian Conference on Computer Vision (ACCV), 2025 Paul Wimmer Jens Mehnert Alexandru Paul Condurache 96 15 0 28 Nov 2020
Rethinking Weight Decay For Efficient Neural Network Pruning Hugo Tessier Vincent Gripon Mathieu Léonardon M. Arzel T. Hannagan David Bertrand 155 28 0 20 Nov 2020
Layer-Wise Data-Free CNN Compression Maxwell Horton Yanzi Jin Ali Farhadi Mohammad Rastegari MQ 95 18 0 18 Nov 2020
Dynamic Hard Pruning of Neural Networks at the Edge of the Internet Lorenzo Valerio F. M. Nardini A. Passarella R. Perego 131 12 0 17 Nov 2020
LOss-Based SensiTivity rEgulaRization: towards deep sparse neural networks Enzo Tartaglione Andrea Bragagnolo Attilio Fiandrotti Marco Grangetto ODL UQCV 108 35 0 16 Nov 2020
LEAN: graph-based pruning for convolutional neural networks by extracting longest chains R. Schoonhoven A. Hendriksen D. Pelt K. Batenburg 3DPC 105 4 0 13 Nov 2020
DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search Yushuo Guan Ning Liu Pengyu Zhao Zhengping Che Kaigui Bian Yanzhi Wang Jian Tang 132 43 0 04 Nov 2020
Methods for Pruning Deep Neural Networks S. Vadera Salem Ameen 3DPC 122 143 0 31 Oct 2020
Fusion-Catalyzed Pruning for Optimizing Deep Learning on Intelligent Edge Devices Guangli Li Xiu Ma Xueying Wang Lei Liu Jingling Xue Xiaobing Feng 135 34 0 30 Oct 2020
Permute, Quantize, and Fine-tune: Efficient Compression of Neural NetworksComputer Vision and Pattern Recognition (CVPR), 2025 Julieta Martinez Jashan Shewakramani Ting Liu Ioan Andrei Bârsan Wenyuan Zeng R. Urtasun MQ 170 31 0 29 Oct 2020