A Novel Architecture Slimming Method for Network Pruning and Knowledge
Distillation

A Novel Architecture Slimming Method for Network Pruning and Knowledge Distillation

21 February 2022

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Papers citing "A Novel Architecture Slimming Method for Network Pruning and Knowledge Distillation"

19 / 19 papers shown

Title
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI Jiangchao Yao Shengyu Zhang Yang Yao Feng Wang Jianxin Ma ... Kun Kuang Chao-Xiang Wu Leilei Gan Jingren Zhou Hongxia Yang 104 101 0 11 Nov 2021
AUTOKD: Automatic Knowledge Distillation Into A Student Architecture Family Roy Henha Eyono Fabio Maria Carlucci P. Esperança Binxin Ru Phillip Torr 58 3 0 05 Nov 2021
DeVLBert: Learning Deconfounded Visio-Linguistic Representations Shengyu Zhang Tan Jiang Tan Wang Kun Kuang Zhou Zhao Jianke Zhu Jin Yu Hongxia Yang Leilei Gan OOD 68 87 0 16 Aug 2020
Regularizing Class-wise Predictions via Self-knowledge Distillation Sukmin Yun Jongjin Park Kimin Lee Jinwoo Shin 73 281 0 31 Mar 2020
Channel Pruning via Automatic Structure Search Mingbao Lin Rongrong Ji Yuxin Zhang Baochang Zhang Yongjian Wu Yonghong Tian 117 246 0 23 Jan 2020
Search to Distill: Pearls are Everywhere but not the Eyes Yu Liu Xuhui Jia Mingxing Tan Raviteja Vemulapalli Yukun Zhu Bradley Green Xiaogang Wang 101 68 0 20 Nov 2019
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation Linfeng Zhang Jiebo Song Anni Gao Jingwei Chen Chenglong Bao Kaisheng Ma FedML 76 865 0 17 May 2019
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration Yang He Ping Liu Ziwei Wang Zhilan Hu Yi Yang AAML 3DPC 98 1,050 0 01 Nov 2018
Rethinking the Value of Network Pruning Zhuang Liu Mingjie Sun Tinghui Zhou Gao Huang Trevor Darrell 42 1,477 0 11 Oct 2018
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks Yang He Guoliang Kang Xuanyi Dong Yanwei Fu Yi Yang AAML VLM 74 965 0 21 Aug 2018
Paraphrasing Complex Network: Network Compression via Factor Transfer Jangho Kim Seonguk Park Nojun Kwak 80 551 0 14 Feb 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices Yihui He Ji Lin Zhijian Liu Hanrui Wang Li Li Song Han 111 1,349 0 10 Feb 2018
Moonshine: Distilling with Cheap Convolutions Elliot J. Crowley Gavia Gray Amos Storkey 59 121 0 07 Nov 2017
Learning Efficient Convolutional Networks through Network Slimming Zhuang Liu Jianguo Li Zhiqiang Shen Gao Huang Shoumeng Yan Changshui Zhang 140 2,427 0 22 Aug 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 1.2K 20,900 0 17 Apr 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,641 0 10 Dec 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 367 19,745 0 09 Mar 2015
FitNets: Hints for Thin Deep Nets Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang C. Gatta Yoshua Bengio FedML 332 3,906 0 19 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,575 0 04 Sep 2014

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