Compressing Deep Convolutional Networks using Vector Quantization

Compressing Deep Convolutional Networks using Vector Quantization

18 December 2014

Lubomir D. Bourdev

Papers citing "Compressing Deep Convolutional Networks using Vector Quantization"

16 / 16 papers shown

Title
Deep Learning at the Edge Sahar Voghoei N. Tonekaboni Jason G. Wallace H. Arabnia 138 41 0 22 Oct 2019
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon Xin Luna Dong Shangyu Chen Sinno Jialin Pan 174 505 0 22 May 2017
Deep Learning with Low Precision by Half-wave Gaussian Quantization Zhaowei Cai Xiaodong He Jian Sun Nuno Vasconcelos MQ 136 505 0 03 Feb 2017
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations Itay Hubara Matthieu Courbariaux Daniel Soudry Ran El-Yaniv Yoshua Bengio MQ 149 1,864 0 22 Sep 2016
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 465 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
CNN Features off-the-shelf: an Astounding Baseline for Recognition A. Razavian Hossein Azizpour Josephine Sullivan S. Carlsson 157 4,942 0 23 Mar 2014
Multi-scale Orderless Pooling of Deep Convolutional Activation Features Yunchao Gong Liwei Wang Ruiqi Guo Svetlana Lazebnik 179 1,089 0 07 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
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 595 15,882 0 12 Nov 2013
Rich feature hierarchies for accurate object detection and semantic segmentation Ross B. Girshick Jeff Donahue Trevor Darrell Jitendra Malik ObjD 289 26,186 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 197 1,319 0 03 Jun 2013