Now that I can see, I can improve: Enabling data-driven finetuning of CNNs on the edge

15 June 2020

Papers citing "Now that I can see, I can improve: Enabling data-driven finetuning of CNNs on the edge"

14 / 14 papers shown

Title
Self-training with Noisy Student improves ImageNet classification Qizhe Xie Minh-Thang Luong Eduard H. Hovy Quoc V. Le NoLa 315 2,392 0 11 Nov 2019
Neural Network Distiller: A Python Package For DNN Compression Research Neta Zmora Guy Jacob Lev Zlotnik Bar Elharar Gal Novik 50 74 0 27 Oct 2019
Importance Estimation for Neural Network Pruning Pavlo Molchanov Arun Mallya Stephen Tyree I. Frosio Jan Kautz 3DPC 81 885 0 25 Jun 2019
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing Zhi Zhou Xu Chen En Li Liekang Zeng Ke Luo Junshan Zhang 93 1,441 0 24 May 2019
The State of Sparsity in Deep Neural Networks Trevor Gale Erich Elsen Sara Hooker 163 762 0 25 Feb 2019
Towards Compact ConvNets via Structure-Sparsity Regularized Filter Pruning Shaohui Lin Rongrong Ji Yuchao Li Cheng Deng Xuelong Li 67 69 0 23 Jan 2019
Dynamic Channel Pruning: Feature Boosting and Suppression Xitong Gao Yiren Zhao Łukasz Dudziak Robert D. Mullins Chengzhong Xu 76 318 0 12 Oct 2018
Filter Distillation for Network Compression Xavier Suau Luca Zappella N. Apostoloff 44 38 0 20 Jul 2018
Channel Gating Neural Networks Weizhe Hua Yuan Zhou Christopher De Sa Zhiru Zhang G. E. Suh 57 180 0 29 May 2018
Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks Deepak Mittal S. Bhardwaj Mitesh M. Khapra Balaraman Ravindran VLM 70 66 0 31 Jan 2018
Learning Efficient Convolutional Networks through Network Slimming Zhuang Liu Jianguo Li Zhiqiang Shen Gao Huang Shoumeng Yan Changshui Zhang 125 2,426 0 22 Aug 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 522 10,347 0 16 Nov 2016
Pruning Filters for Efficient ConvNets Hao Li Asim Kadav Igor Durdanovic H. Samet H. Graf 3DPC 195 3,705 0 31 Aug 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size F. Iandola Song Han Matthew W. Moskewicz Khalid Ashraf W. Dally Kurt Keutzer 156 7,501 0 24 Feb 2016