Compressing Convolutional Neural Networks

14 June 2015

Papers citing "Compressing Convolutional Neural Networks"

33 / 33 papers shown

Title
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 733 37,843 0 20 May 2016
Quantized Convolutional Neural Networks for Mobile Devices Jiaxiang Wu Cong Leng Yuhang Wang Qinghao Hu Jian Cheng MQ 85 1,166 0 21 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
BinaryConnect: Training Deep Neural Networks with binary weights during propagations Matthieu Courbariaux Yoshua Bengio J. David MQ 206 2,984 0 02 Nov 2015
Compression of Deep Neural Networks on the Fly G. Soulié Vincent Gripon M. Robert 29 25 0 29 Sep 2015
Spectral Representations for Convolutional Neural Networks Oren Rippel Jasper Snoek Ryan P. Adams 49 328 0 11 Jun 2015
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 310 6,669 0 08 Jun 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
FaceNet: A Unified Embedding for Face Recognition and Clustering Florian Schroff Dmitry Kalenichenko James Philbin 3DH 359 13,143 0 12 Mar 2015
Deep Learning with Limited Numerical Precision Suyog Gupta A. Agrawal K. Gopalakrishnan P. Narayanan HAI 196 2,047 0 09 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 315 18,609 0 06 Feb 2015
Fast Convolutional Nets With fbfft: A GPU Performance Evaluation Nicolas Vasilache Jeff Johnson Michaël Mathieu Soumith Chintala Serkan Piantino Yann LeCun 50 347 0 24 Dec 2014
Deep Fried Convnets Zichao Yang Marcin Moczulski Misha Denil Nando de Freitas Alex Smola Le Song Ziyu Wang 97 267 0 22 Dec 2014
Training deep neural networks with low precision multiplications Matthieu Courbariaux Yoshua Bengio J. David MQ 67 49 0 22 Dec 2014
Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN) Junhua Mao Wenyuan Xu Yi Yang Jiang Wang Zhiheng Huang Alan Yuille VLM 168 1,240 0 20 Dec 2014
Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition V. Lebedev Yaroslav Ganin M. Rakhuba Ivan Oseledets Victor Lempitsky 61 884 0 19 Dec 2014
Compressing Deep Convolutional Networks using Vector Quantization Yunchao Gong Liu Liu Ming Yang Lubomir D. Bourdev MQ 148 1,170 0 18 Dec 2014
Deep Visual-Semantic Alignments for Generating Image Descriptions A. Karpathy Li Fei-Fei 120 5,583 0 07 Dec 2014
Show and Tell: A Neural Image Caption Generator Oriol Vinyals Alexander Toshev Samy Bengio D. Erhan 3DV 235 6,026 0 17 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 447 43,635 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,330 0 04 Sep 2014
Speeding up Convolutional Neural Networks with Low Rank Expansions Max Jaderberg Andrea Vedaldi Andrew Zisserman 128 1,463 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
CNN Features off-the-shelf: an Astounding Baseline for Recognition A. Razavian Hossein Azizpour Josephine Sullivan S. Carlsson 154 4,939 0 23 Mar 2014
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks P. Sermanet David Eigen Xiang Zhang Michaël Mathieu Rob Fergus Yann LeCun ObjD 151 5,006 0 21 Dec 2013
Do Deep Nets Really Need to be Deep? Lei Jimmy Ba R. Caruana 162 2,117 0 21 Dec 2013
Fast Training of Convolutional Networks through FFTs Michaël Mathieu Mikael Henaff Yann LeCun 121 610 0 20 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 589 15,876 0 12 Nov 2013
Rich feature hierarchies for accurate object detection and semantic segmentation Ross B. Girshick Jeff Donahue Trevor Darrell Jitendra Malik ObjD 287 26,181 0 11 Nov 2013
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue Yangqing Jia Oriol Vinyals Judy Hoffman Ning Zhang Eric Tzeng Trevor Darrell VLM ObjD 178 4,949 0 06 Oct 2013
Predicting Parameters in Deep Learning Misha Denil B. Shakibi Laurent Dinh MarcÁurelio Ranzato Nando de Freitas OOD 192 1,317 0 03 Jun 2013
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 349 7,934 0 13 Jun 2012
Feature Hashing for Large Scale Multitask Learning Kilian Q. Weinberger A. Dasgupta Josh Attenberg John Langford Alex Smola 116 1,023 0 12 Feb 2009