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Decomposable-Net: Scalable Low-Rank Compression for Neural Networks

29 October 2019

Papers citing "Decomposable-Net: Scalable Low-Rank Compression for Neural Networks"

43 / 43 papers shown

Title
A Gradient Flow Framework For Analyzing Network Pruning Ekdeep Singh Lubana Robert P. Dick 57 52 0 24 Sep 2020
Resolution Switchable Networks for Runtime Efficient Image Recognition Yikai Wang F. Sun Duo Li Anbang Yao 63 26 0 19 Jul 2020
TRP: Trained Rank Pruning for Efficient Deep Neural Networks Yuhui Xu Yuxi Li Shuai Zhang W. Wen Botao Wang Y. Qi Yiran Chen Weiyao Lin H. Xiong AAML 60 71 0 30 Apr 2020
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models Jiahui Yu Pengchong Jin Hanxiao Liu Gabriel Bender Pieter-Jan Kindermans Mingxing Tan Thomas Huang Xiaodan Song Ruoming Pang Quoc V. Le 80 304 0 24 Mar 2020
MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution Taojiannan Yang Sijie Zhu Chong Chen Shen Yan Mi Zhang Andrew Willis OOD 61 74 0 27 Sep 2019
Compression based bound for non-compressed network: unified generalization error analysis of large compressible deep neural network Taiji Suzuki Hiroshi Abe Tomoaki Nishimura AI4CE 48 44 0 25 Sep 2019
Once-for-All: Train One Network and Specialize it for Efficient Deployment Han Cai Chuang Gan Tianzhe Wang Zhekai Zhang Song Han OOD 105 1,281 0 26 Aug 2019
SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models Linfeng Zhang Zhanhong Tan Jiebo Song Jingwei Chen Chenglong Bao Kaisheng Ma 40 71 0 27 May 2019
Data-dependent Sample Complexity of Deep Neural Networks via Lipschitz Augmentation Colin Wei Tengyu Ma 65 110 0 09 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 348 6,782 0 06 May 2019
Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours Dimitrios Stamoulis Ruizhou Ding Di Wang Dimitrios Lymberopoulos B. Priyantha Jie Liu Diana Marculescu 60 285 0 05 Apr 2019
Universally Slimmable Networks and Improved Training Techniques Jiahui Yu Thomas Huang 74 386 0 12 Mar 2019
ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation Xiaoliang Dai Peizhao Zhang Bichen Wu Hongxu Yin Fei Sun ... Yiming Wu Yangqing Jia Peter Vajda M. Uyttendaele N. Jha 74 272 0 21 Dec 2018
Slimmable Neural Networks Jiahui Yu L. Yang N. Xu Jianchao Yang Thomas Huang 85 553 0 21 Dec 2018
AI Benchmark: Running Deep Neural Networks on Android Smartphones Andrey D. Ignatov Radu Timofte William Chou Ke Wang Max Wu Tim Hartley Luc Van Gool ELM 70 323 0 02 Oct 2018
Network Decoupling: From Regular to Depthwise Separable Convolutions Jianbo Guo Yuxi Li Weiyao Lin Yurong Chen Jianguo Li 3DV OOD 58 85 0 16 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 123 3,010 0 31 Jul 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 417 5,111 0 19 Jun 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 136 521 0 09 Apr 2018
Stronger generalization bounds for deep nets via a compression approach Sanjeev Arora Rong Ge Behnam Neyshabur Yi Zhang MLT AI4CE 86 642 0 14 Feb 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 184 19,284 0 13 Jan 2018
Compression-aware Training of Deep Networks J. Álvarez Mathieu Salzmann 46 171 0 07 Nov 2017
Trace norm regularization and faster inference for embedded speech recognition RNNs Markus Kliegl Siddharth Goyal Kexin Zhao Kavya Srinet Mohammad Shoeybi 58 8 0 25 Oct 2017
Auto-Differentiating Linear Algebra Matthias Seeger A. Hetzel Zhenwen Dai Eric Meissner Neil D. Lawrence 50 40 0 24 Oct 2017
Learning Efficient Convolutional Networks through Network Slimming Zhuang Liu Jianguo Li Zhiqiang Shen Gao Huang Shoumeng Yan Changshui Zhang 122 2,421 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 20,858 0 17 Apr 2017
Coordinating Filters for Faster Deep Neural Networks W. Wen Cong Xu Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 43 138 0 28 Mar 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 465 5,373 0 05 Nov 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 340 7,985 0 23 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
Training CNNs with Low-Rank Filters for Efficient Image Classification Yani Andrew Ioannou D. Robertson Jamie Shotton R. Cipolla A. Criminisi 67 152 0 20 Nov 2015
Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications Yong-Deok Kim Eunhyeok Park S. Yoo Taelim Choi Lu Yang Dongjun Shin 124 894 0 20 Nov 2015
Convolutional neural networks with low-rank regularization Cheng Tai Tong Xiao Yi Zhang Xiaogang Wang E. Weinan BDL 103 461 0 19 Nov 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 259 8,842 0 01 Oct 2015
Training Deep Networks with Structured Layers by Matrix Backpropagation Catalin Ionescu O. Vantzos C. Sminchisescu 46 83 0 25 Sep 2015
Accelerating Very Deep Convolutional Networks for Classification and Detection Xinming Zhang Jianhua Zou Kaiming He Jian Sun 70 796 0 26 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,305 0 11 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 326 18,625 0 06 Feb 2015
Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition V. Lebedev Yaroslav Ganin M. Rakhuba Ivan Oseledets Victor Lempitsky 63 884 0 19 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,386 0 04 Sep 2014
Speeding up Convolutional Neural Networks with Low Rank Expansions Max Jaderberg Andrea Vedaldi Andrew Zisserman 128 1,462 0 15 May 2014
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation Emily L. Denton Wojciech Zaremba Joan Bruna Yann LeCun Rob Fergus FAtt 177 1,689 0 02 Apr 2014
Predicting Parameters in Deep Learning Misha Denil B. Shakibi Laurent Dinh MarcÁurelio Ranzato Nando de Freitas OOD 197 1,319 0 03 Jun 2013