Knapsack Pruning with Inner Distillation

19 February 2020

Papers citing "Knapsack Pruning with Inner Distillation"

40 / 40 papers shown

Title
Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming Itay Hubara Yury Nahshan Y. Hanani Ron Banner Daniel Soudry MQ 59 124 0 14 Jun 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 71 42,038 0 03 Dec 2019
Blockwisely Supervised Neural Architecture Search with Knowledge Distillation Changlin Li Jiefeng Peng Liuchun Yuan Guangrun Wang Xiaodan Liang Liang Lin Xiaojun Chang 42 180 0 29 Nov 2019
Contrastive Representation Distillation Yonglong Tian Dilip Krishnan Phillip Isola 69 1,037 0 23 Oct 2019
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks Qilong Wang Banggu Wu Peng Fei Zhu P. Li W. Zuo Q. Hu 117 3,957 0 08 Oct 2019
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks Xiaohan Ding Guiguang Ding Xiangxin Zhou Yuchen Guo Jungong Han Ji Liu 29 162 0 27 Sep 2019
Similarity-Preserving Knowledge Distillation Frederick Tung Greg Mori 78 963 0 23 Jul 2019
Importance Estimation for Neural Network Pruning Pavlo Molchanov Arun Mallya Stephen Tyree I. Frosio Jan Kautz 3DPC 51 866 0 25 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 32 17,950 0 28 May 2019
Network Pruning via Transformable Architecture Search Xuanyi Dong Yi Yang 3DPC 30 241 0 23 May 2019
Approximated Oracle Filter Pruning for Destructive CNN Width Optimization Xiaohan Ding Guiguang Ding Yuchen Guo Jiawei Han C. Yan AAML 36 124 0 12 May 2019
Searching for MobileNetV3 Andrew G. Howard Mark Sandler Grace Chu Liang-Chieh Chen Bo Chen ... Yukun Zhu Ruoming Pang Vijay Vasudevan Quoc V. Le Hartwig Adam 217 6,685 0 06 May 2019
A Comprehensive Overhaul of Feature Distillation Byeongho Heo Jeesoo Kim Sangdoo Yun Hyojin Park Nojun Kwak J. Choi 40 571 0 03 Apr 2019
AutoSlim: Towards One-Shot Architecture Search for Channel Numbers Jiahui Yu Thomas Huang 39 56 0 27 Mar 2019
Slimmable Neural Networks Jiahui Yu L. Yang N. Xu Jianchao Yang Thomas Huang 50 549 0 21 Dec 2018
Bag of Tricks for Image Classification with Convolutional Neural Networks Tong He Zhi-Li Zhang Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li 245 1,407 0 04 Dec 2018
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration Yang He Ping Liu Ziwei Wang Zhilan Hu Yi Yang AAML 3DPC 45 1,044 0 01 Nov 2018
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks Yang He Guoliang Kang Xuanyi Dong Yanwei Fu Yi Yang AAML VLM 41 960 0 21 Aug 2018
MnasNet: Platform-Aware Neural Architecture Search for Mobile Mingxing Tan Bo Chen Ruoming Pang Vijay Vasudevan Mark Sandler Andrew G. Howard Quoc V. Le MQ 65 2,995 0 31 Jul 2018
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications Tien-Ju Yang Andrew G. Howard Bo Chen Xiao Zhang Alec Go Mark Sandler Vivienne Sze Hartwig Adam 102 518 0 09 Apr 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices Yihui He Ji Lin Zhijian Liu Hanrui Wang Li Li Song Han 53 1,346 0 10 Feb 2018
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers Jianbo Ye Xin Lu Zhe Lin Jianmin Wang 50 406 0 01 Feb 2018
NISP: Pruning Networks using Neuron Importance Score Propagation Ruichi Yu Ang Li Chun-Fu Chen Jui-Hsin Lai Vlad I. Morariu Xintong Han M. Gao Ching-Yung Lin L. Davis 53 798 0 16 Nov 2017
Moonshine: Distilling with Cheap Convolutions Elliot J. Crowley Gavia Gray Amos Storkey 42 121 0 07 Nov 2017
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 253 26,241 0 05 Sep 2017
Learning Efficient Convolutional Networks through Network Slimming Zhuang Liu Jianguo Li Zhiqiang Shen Gao Huang Shoumeng Yan Changshui Zhang 89 2,407 0 22 Aug 2017
Channel Pruning for Accelerating Very Deep Neural Networks Yihui He Xiangyu Zhang Jian Sun 177 2,513 0 19 Jul 2017
Data-Driven Sparse Structure Selection for Deep Neural Networks Zehao Huang Naiyan Wang 62 560 0 05 Jul 2017
More is Less: A More Complicated Network with Less Inference Complexity Xuanyi Dong Junshi Huang Yi Yang Shuicheng Yan 33 288 0 25 Mar 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 383 10,281 0 16 Nov 2016
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 550 14,454 0 07 Oct 2016
Pruning Filters for Efficient ConvNets Hao Li Asim Kadav Igor Durdanovic H. Samet H. Graf 3DPC 140 3,676 0 31 Aug 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 498 36,599 0 25 Aug 2016
Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures Hengyuan Hu Rui Peng Yu-Wing Tai Chi-Keung Tang 41 885 0 12 Jul 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 784 192,638 0 10 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 256 27,231 0 02 Dec 2015
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 140 6,628 0 08 Jun 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 69 19,448 0 09 Mar 2015
FitNets: Hints for Thin Deep Nets Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang C. Gatta Yoshua Bengio FedML 167 3,862 0 19 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 495 99,991 0 04 Sep 2014