Speeding up Convolutional Neural Networks with Low Rank Expansions

15 May 2014

Andrea Vedaldi

Papers citing "Speeding up Convolutional Neural Networks with Low Rank Expansions"

50 / 275 papers shown

Title
Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds Cenk Baykal Lucas Liebenwein Igor Gilitschenski Dan Feldman Daniela Rus 25 79 0 15 Apr 2018
Learning Strict Identity Mappings in Deep Residual Networks Xin Yu Zhiding Yu Srikumar Ramalingam 16 17 0 05 Apr 2018
A Survey on Deep Learning Methods for Robot Vision Javier Ruiz-del-Solar P. Loncomilla Naiomi Soto 31 60 0 28 Mar 2018
Merging and Evolution: Improving Convolutional Neural Networks for Mobile Applications Zheng Qin Zhaoning Zhang Shiqing Zhang Hao Yu Yuxing Peng 11 7 0 24 Mar 2018
SqueezeNext: Hardware-Aware Neural Network Design A. Gholami K. Kwon Bichen Wu Zizheng Tai Xiangyu Yue Peter H. Jin Sicheng Zhao Kurt Keutzer 22 295 0 23 Mar 2018
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation Sachin Mehta Mohammad Rastegari A. Caspi Linda G. Shapiro Hannaneh Hajishirzi SSeg 43 778 0 19 Mar 2018
Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions Stylianos I. Venieris Alexandros Kouris C. Bouganis 19 184 0 15 Mar 2018
Compressing Neural Networks using the Variational Information Bottleneck Bin Dai Chen Zhu David Wipf MLT 26 178 0 28 Feb 2018
Recurrent Residual Module for Fast Inference in Videos Bowen Pan Wuwei Lin Xiaolin Fang Chaoqin Huang Bolei Zhou Cewu Lu ObjD 28 33 0 27 Feb 2018
PBGen: Partial Binarization of Deconvolution-Based Generators for Edge Intelligence Jinglan Liu Jiaxin Zhang Yukun Ding Xiaowei Xu Meng Jiang Yiyu Shi 36 4 0 26 Feb 2018
FD-MobileNet: Improved MobileNet with a Fast Downsampling Strategy Zheng Qin Zhaoning Zhang Xiaotao Chen Yuxing Peng MQ 29 104 0 11 Feb 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices Yihui He Ji Lin Zhijian Liu Hanrui Wang Li-Jia Li Song Han 35 1,342 0 10 Feb 2018
VIBNN: Hardware Acceleration of Bayesian Neural Networks R. Cai Ao Ren Ning Liu Caiwen Ding Luhao Wang Xuehai Qian Massoud Pedram Yanzhi Wang BDL 46 87 0 02 Feb 2018
Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks Deepak Mittal S. Bhardwaj Mitesh M. Khapra Balaraman Ravindran VLM 36 65 0 31 Jan 2018
Learning to Prune Filters in Convolutional Neural Networks Qiangui Huang S. Kevin Zhou Suya You Ulrich Neumann VLM 28 177 0 23 Jan 2018
StressedNets: Efficient Feature Representations via Stress-induced Evolutionary Synthesis of Deep Neural Networks M. Shafiee Brendan Chwyl Francis Li Rongyan Chen Michelle Karg C. Scharfenberger A. Wong 11 7 0 16 Jan 2018
Fix your classifier: the marginal value of training the last weight layer Elad Hoffer Itay Hubara Daniel Soudry 35 101 0 14 Jan 2018
Focus: Querying Large Video Datasets with Low Latency and Low Cost Kevin Hsieh Ganesh Ananthanarayanan P. Bodík P. Bahl Matthai Philipose Phillip B. Gibbons O. Mutlu 27 275 0 10 Jan 2018
Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition Jinmian Ye Linnan Wang Guangxi Li Di Chen Shandian Zhe Xinqi Chu Zenglin Xu 29 132 0 14 Dec 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 44 795 0 16 Nov 2017
Moonshine: Distilling with Cheap Convolutions Elliot J. Crowley Gavia Gray Amos Storkey 30 120 0 07 Nov 2017
SparCE: Sparsity aware General Purpose Core Extensions to Accelerate Deep Neural Networks Sanchari Sen Shubham Jain Swagath Venkataramani A. Raghunathan 24 30 0 07 Nov 2017
Knowledge Projection for Deep Neural Networks Zhi Zhang G. Ning Zhihai He 38 15 0 26 Oct 2017
A Survey of Model Compression and Acceleration for Deep Neural Networks Yu Cheng Duo Wang Pan Zhou Zhang Tao 40 1,087 0 23 Oct 2017
Learning Intrinsic Sparse Structures within Long Short-Term Memory W. Wen Yuxiong He Samyam Rajbhandari Minjia Zhang Wenhan Wang Fang Liu Bin Hu Yiran Chen H. Li MQ 35 140 0 15 Sep 2017
The Mating Rituals of Deep Neural Networks: Learning Compact Feature Representations through Sexual Evolutionary Synthesis A. Chung M. Shafiee Paul Fieguth A. Wong 32 4 0 07 Sep 2017
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 90 26,062 0 05 Sep 2017
Domain-adaptive deep network compression Marc Masana Joost van de Weijer Luis Herranz Andrew D. Bagdanov J. Álvarez 44 62 0 04 Sep 2017
Channel Pruning for Accelerating Very Deep Neural Networks Yihui He Xiangyu Zhang Jian Sun 110 2,506 0 19 Jul 2017
Interleaved Group Convolutions for Deep Neural Networks Ting Zhang Guo-Jun Qi Bin Xiao Jingdong Wang 36 81 0 10 Jul 2017
Data-Driven Sparse Structure Selection for Deep Neural Networks Zehao Huang Naiyan Wang 53 558 0 05 Jul 2017
Network Sketching: Exploiting Binary Structure in Deep CNNs Yiwen Guo Anbang Yao Hao Zhao Yurong Chen MQ 37 95 0 07 Jun 2017
DeepCorrect: Correcting DNN models against Image Distortions Tejas S. Borkar Lina Karam 27 93 0 05 May 2017
CBinfer: Change-Based Inference for Convolutional Neural Networks on Video Data Lukas Cavigelli Philippe Degen Luca Benini BDL 25 51 0 14 Apr 2017
More is Less: A More Complicated Network with Less Inference Complexity Xuanyi Dong Junshi Huang Yi Yang Shuicheng Yan 26 288 0 25 Mar 2017
Sharing Residual Units Through Collective Tensor Factorization in Deep Neural Networks Yunpeng Chen Xiaojie Jin Bingyi Kang Jiashi Feng Shuicheng Yan 35 37 0 07 Mar 2017
Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank Liang Zhao Siyu Liao Yanzhi Wang Zhe Li Jian Tang Victor Pan Bo Yuan 31 61 0 01 Mar 2017
Building Fast and Compact Convolutional Neural Networks for Offline Handwritten Chinese Character Recognition Xuefeng Xiao Lianwen Jin Yafeng Yang Weixin Yang Jun Sun Tianhai Chang 18 153 0 26 Feb 2017
Deep Learning with Low Precision by Half-wave Gaussian Quantization Zhaowei Cai Xiaodong He Jian Sun Nuno Vasconcelos MQ 50 503 0 03 Feb 2017
Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale F. Iandola 3DV 26 18 0 20 Dec 2016
Towards the Limit of Network Quantization Yoojin Choi Mostafa El-Khamy Jungwon Lee MQ 22 191 0 05 Dec 2016
LCNN: Lookup-based Convolutional Neural Network Hessam Bagherinezhad Mohammad Rastegari Ali Farhadi 13 89 0 20 Nov 2016
Learning the Number of Neurons in Deep Networks J. Álvarez Mathieu Salzmann 58 413 0 19 Nov 2016
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 309 10,233 0 16 Nov 2016
Towards Deep Compositional Networks Domen Tabernik Matej Kristan J. Wyatt A. Leonardis CoGe 24 18 0 13 Sep 2016
Grid Loss: Detecting Occluded Faces M. Opitz Georg Waltner Georg Poier Horst Possegger Horst Bischof CVBM 41 76 0 01 Sep 2016
Pruning Filters for Efficient ConvNets Hao Li Asim Kadav Igor Durdanovic H. Samet H. Graf 3DPC 72 3,659 0 31 Aug 2016
Design of Efficient Convolutional Layers using Single Intra-channel Convolution, Topological Subdivisioning and Spatial "Bottleneck" Structure Min Wang Baoyuan Liu H. Foroosh 27 51 0 15 Aug 2016
Learning Structured Sparsity in Deep Neural Networks W. Wen Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 47 2,323 0 12 Aug 2016
Clockwork Convnets for Video Semantic Segmentation Evan Shelhamer Kate Rakelly Judy Hoffman Trevor Darrell 37 199 0 11 Aug 2016