Cascaded Projection: End-to-End Network Compression and Acceleration

12 March 2019

Papers citing "Cascaded Projection: End-to-End Network Compression and Acceleration"

35 / 35 papers shown

Title
Discrimination-aware Channel Pruning for Deep Neural Networks Zhuangwei Zhuang Mingkui Tan Bohan Zhuang Jing Liu Yong Guo Qingyao Wu Junzhou Huang Jin-Hui Zhu 116 600 0 28 Oct 2018
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks Yang He Guoliang Kang Xuanyi Dong Yanwei Fu Yi Yang AAML VLM 66 964 0 21 Aug 2018
Deep $k$ -Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions Junru Wu Yue Wang Zhenyu Wu Zhangyang Wang Ashok Veeraraghavan Yingyan Lin 49 115 0 24 Jun 2018
YOLOv3: An Incremental Improvement Joseph Redmon Ali Farhadi ObjD 123 21,447 0 08 Apr 2018
NVIDIA Tensor Core Programmability, Performance & Precision Stefano Markidis Steven W. D. Chien Erwin Laure Ivy Bo Peng Jeffrey S. Vetter 42 372 0 11 Mar 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices Yihui He Ji Lin Zhijian Liu Hanrui Wang Li Li Song Han 95 1,347 0 10 Feb 2018
Learning to Prune Filters in Convolutional Neural Networks Qiangui Huang S. Kevin Zhou Suya You Ulrich Neumann VLM 88 177 0 23 Jan 2018
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference Benoit Jacob S. Kligys Bo Chen Menglong Zhu Matthew Tang Andrew G. Howard Hartwig Adam Dmitry Kalenichenko MQ 156 3,130 0 15 Dec 2017
CondenseNet: An Efficient DenseNet using Learned Group Convolutions Gao Huang Shichen Liu Laurens van der Maaten Kilian Q. Weinberger 99 798 0 25 Nov 2017
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 74 800 0 16 Nov 2017
Orthogonal Weight Normalization: Solution to Optimization over Multiple Dependent Stiefel Manifolds in Deep Neural Networks Lei Huang Xianglong Liu B. Lang Adams Wei Yu Yongliang Wang Bo Li ODL 77 230 0 16 Sep 2017
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression Jian-Hao Luo Jianxin Wu Weiyao Lin 58 1,760 0 20 Jul 2017
Channel Pruning for Accelerating Very Deep Neural Networks Yihui He Xiangyu Zhang Jian Sun 201 2,525 0 19 Jul 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
More is Less: A More Complicated Network with Less Inference Complexity Xuanyi Dong Junshi Huang Yi Yang Shuicheng Yan 50 288 0 25 Mar 2017
Pruning Filters for Efficient ConvNets Hao Li Asim Kadav Igor Durdanovic H. Samet H. Graf 3DPC 193 3,697 0 31 Aug 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 772 36,813 0 25 Aug 2016
An Analysis of Deep Neural Network Models for Practical Applications A. Canziani Adam Paszke Eugenio Culurciello 88 1,168 0 24 May 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 354 10,184 0 16 Mar 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 153 7,486 0 24 Feb 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi 377 14,253 0 23 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 883 27,373 0 02 Dec 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
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
Data-free parameter pruning for Deep Neural Networks Suraj Srinivas R. Venkatesh Babu 3DPC 73 547 0 22 Jul 2015
Compressing Neural Networks with the Hashing Trick Wenlin Chen James T. Wilson Stephen Tyree Kilian Q. Weinberger Yixin Chen 163 1,191 0 19 Apr 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
Efficient and Accurate Approximations of Nonlinear Convolutional Networks Xinming Zhang Jianhua Zou Xiang Ming Kaiming He Jian Sun 3DV 73 263 0 16 Nov 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 468 43,658 0 17 Sep 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 200 1,319 0 03 Jun 2013