Dynamic Channel Pruning: Feature Boosting and Suppression

12 October 2018

Papers citing "Dynamic Channel Pruning: Feature Boosting and Suppression"

22 / 122 papers shown

Title
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training Y. Fu Haoran You Yang Katie Zhao Yue Wang Chaojian Li K. Gopalakrishnan Zhangyang Wang Yingyan Lin MQ 32 32 0 24 Dec 2020
DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for deep neural networks Abhishek Singh Ayush Chopra Vivek Sharma Ethan Garza Emily Zhang Praneeth Vepakomma Ramesh Raskar 17 45 0 20 Dec 2020
Bringing AI To Edge: From Deep Learning's Perspective Di Liu Hao Kong Xiangzhong Luo Weichen Liu Ravi Subramaniam 52 116 0 25 Nov 2020
MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning Sen Lin Li Yang Zhezhi He Deliang Fan Junshan Zhang FedML AI4CE 17 5 0 25 Nov 2020
Third ArchEdge Workshop: Exploring the Design Space of Efficient Deep Neural Networks Fuxun Yu Dimitrios Stamoulis Di Wang Dimitrios Lymberopoulos Xiang Chen 3DV 22 1 0 22 Nov 2020
Automated Model Compression by Jointly Applied Pruning and Quantization Wenting Tang Xingxing Wei Bo-wen Li MQ 8 7 0 12 Nov 2020
Effective Model Compression via Stage-wise Pruning Mingyang Zhang Xinyi Yu Jingtao Rong L. Ou SyDa 21 1 0 10 Nov 2020
Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network Anh-Huy Phan Konstantin Sobolev Konstantin Sozykin Dmitry Ermilov Julia Gusak P. Tichavský Valeriy Glukhov Ivan V. Oseledets A. Cichocki BDL 21 128 0 12 Aug 2020
Dynamic Group Convolution for Accelerating Convolutional Neural Networks Z. Su Linpu Fang Wenxiong Kang D. Hu M. Pietikäinen Li Liu 13 44 0 08 Jul 2020
Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge Applications: A Survey Jiayi Liu S. Tripathi Unmesh Kurup Mohak Shah 3DPC MedIm 22 52 0 08 May 2020
FlexSA: Flexible Systolic Array Architecture for Efficient Pruned DNN Model Training Sangkug Lym M. Erez 13 25 0 27 Apr 2020
Computation on Sparse Neural Networks: an Inspiration for Future Hardware Fei Sun Minghai Qin Tianyun Zhang Liu Liu Yen-kuang Chen Yuan Xie 29 7 0 24 Apr 2020
Resource-Efficient Neural Networks for Embedded Systems Wolfgang Roth Günther Schindler Lukas Pfeifenberger Robert Peharz Sebastian Tschiatschek Holger Fröning Franz Pernkopf Zoubin Ghahramani 28 47 0 07 Jan 2020
S2DNAS:Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search Zhihang Yuan Bingzhe Wu Zheng Liang Shiwan Zhao Weichen Bi Guangyu Sun 25 30 0 16 Nov 2019
DASNet: Dynamic Activation Sparsity for Neural Network Efficiency Improvement Qing Yang Jiachen Mao Zuoguan Wang H. Li 13 15 0 13 Sep 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 26 44 0 10 Aug 2019
Bringing Giant Neural Networks Down to Earth with Unlabeled Data Yehui Tang Shan You Chang Xu Boxin Shi Chao Xu 16 11 0 13 Jul 2019
Butterfly Transform: An Efficient FFT Based Neural Architecture Design Keivan Alizadeh-Vahid Anish K. Prabhu Ali Farhadi Mohammad Rastegari 32 50 0 05 Jun 2019
Interpretable Neural Network Decoupling Yuchao Li Rongrong Ji Shaohui Lin Baochang Zhang Chenqian Yan Yongjian Wu Feiyue Huang Ling Shao 34 2 0 04 Jun 2019
Focused Quantization for Sparse CNNs Yiren Zhao Xitong Gao Daniel Bates Robert D. Mullins Chengzhong Xu MQ 15 26 0 07 Mar 2019
Channel Gating Neural Networks Weizhe Hua Yuan Zhou Christopher De Sa Zhiru Zhang G. E. Suh 15 180 0 29 May 2018
Faster Neural Network Training with Approximate Tensor Operations Menachem Adelman Kfir Y. Levy Ido Hakimi M. Silberstein 29 26 0 21 May 2018