Low-complexity Approximate Convolutional Neural Networks

29 July 2022

Papers citing "Low-complexity Approximate Convolutional Neural Networks"

21 / 21 papers shown

Title
An Integer Approximation Method for Discrete Sinusoidal Transforms R. de Sobral Cintra 33 47 0 05 Jul 2020
DCT-like Transform for Image Compression Requires 14 Additions Only F. M. Bayer R. de Sobral Cintra 43 89 0 02 Feb 2017
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks Mohammad Rastegari Vicente Ordonez Joseph Redmon Ali Farhadi MQ 170 4,357 0 16 Mar 2016
Convolutional Neural Networks using Logarithmic Data Representation Daisuke Miyashita Edward H. Lee B. Murmann MQ 81 428 0 03 Mar 2016
Bitwise Neural Networks Minje Kim Paris Smaragdis MQ 83 217 0 22 Jan 2016
BinaryConnect: Training Deep Neural Networks with binary weights during propagations Matthieu Courbariaux Yoshua Bengio J. David MQ 209 2,985 0 02 Nov 2015
Computational Cost Reduction in Learned Transform Classifications E. Machado C. Miosso R. V. Borries Murilo Coutinho P. Berger Thiago Marques R. Jacobi 62 3 0 26 Apr 2015
A Class of DCT Approximations Based on the Feig-Winograd Algorithm C. J. Tablada F. M. Bayer R. de Sobral Cintra 42 30 0 02 Feb 2015
A Discrete Tchebichef Transform Approximation for Image and Video Coding Paulo A. M. Oliveira R. de Sobral Cintra F. M. Bayer Sunera Kulasekera A. Madanayake 37 26 0 28 Jan 2015
Improved 8-point Approximate DCT for Image and Video Compression Requiring Only 14 Additions U. Potluri A. Madanayake R. de Sobral Cintra F. M. Bayer Sunera Kulasekera A. Edirisuriya 48 142 0 13 Jan 2015
Deep Fried Convnets Zichao Yang Marcin Moczulski Misha Denil Nando de Freitas Alex Smola Le Song Ziyu Wang 100 267 0 22 Dec 2014
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
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
Fast Training of Convolutional Networks through FFTs Michaël Mathieu Mikael Henaff Yann LeCun 126 610 0 20 Dec 2013
Predicting Parameters in Deep Learning Misha Denil B. Shakibi Laurent Dinh MarcÁurelio Ranzato Nando de Freitas OOD 200 1,319 0 03 Jun 2013
Pedestrian Detection with Unsupervised Multi-Stage Feature Learning P. Sermanet Koray Kavukcuoglu Soumith Chintala Yann LeCun SSL 98 828 0 01 Dec 2012
Convolutional Neural Networks Applied to House Numbers Digit Classification P. Sermanet Soumith Chintala Yann LeCun 94 543 0 18 Apr 2012
Multi-column Deep Neural Networks for Image Classification D. Ciresan U. Meier Jürgen Schmidhuber 168 3,942 0 13 Feb 2012