An exploration of parameter redundancy in deep networks with circulant
projections

v1v2 (latest)

An exploration of parameter redundancy in deep networks with circulant projections

11 February 2015

Sanjiv Kumar

ArXiv (abs)PDF HTML

Papers citing "An exploration of parameter redundancy in deep networks with circulant projections"

8 / 8 papers shown

Title
Speeding up Convolutional Neural Networks with Low Rank Expansions Max Jaderberg Andrea Vedaldi Andrew Zisserman 128 1,462 0 15 May 2014
Circulant Binary Embedding Felix X. Yu Sanjiv Kumar Yunchao Gong Shih-Fu Chang 67 178 0 13 May 2014
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks P. Sermanet David Eigen Xiang Zhang Michaël Mathieu Rob Fergus Yann LeCun ObjD 153 5,007 0 21 Dec 2013
Network In Network Min Lin Qiang Chen Shuicheng Yan 291 6,279 0 16 Dec 2013
Scalable Object Detection using Deep Neural Networks D. Erhan Christian Szegedy Alexander Toshev Dragomir Anguelov ObjD 115 1,165 0 08 Dec 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 186 4,950 0 06 Oct 2013
Maxout Networks Ian Goodfellow David Warde-Farley M. Berk Mirza Aaron Courville Yoshua Bengio OOD 240 2,178 0 18 Feb 2013
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 453 7,663 0 03 Jul 2012