Deep Fried Convnets

22 December 2014

Papers citing "Deep Fried Convnets"

25 / 25 papers shown

Title
A Kronecker-factored approximate Fisher matrix for convolution layers Roger C. Grosse James Martens ODL 49 260 0 03 Feb 2016
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 121 6,628 0 08 Jun 2015
Weight Uncertainty in Neural Networks Charles Blundell Julien Cornebise Koray Kavukcuoglu Daan Wierstra UQCV BDL 49 1,878 0 20 May 2015
Speeding Up Neural Networks for Large Scale Classification using WTA Hashing Amir-Hossein Bakhtiary Àgata Lapedriza David Masip 23 10 0 28 Apr 2015
Compressing Neural Networks with the Hashing Trick Wenlin Chen James T. Wilson Stephen Tyree Kilian Q. Weinberger Yixin Chen 44 1,190 0 19 Apr 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 61 19,448 0 09 Mar 2015
FitNets: Hints for Thin Deep Nets Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang C. Gatta Yoshua Bengio FedML 156 3,862 0 19 Dec 2014
A la Carte - Learning Fast Kernels Zichao Yang Alex Smola Le Song A. Wilson 31 132 0 19 Dec 2014
Compressing Deep Convolutional Networks using Vector Quantization Yunchao Gong Liu Liu Ming Yang Lubomir D. Bourdev MQ 28 1,168 0 18 Dec 2014
Highly Efficient Forward and Backward Propagation of Convolutional Neural Networks for Pixelwise Classification Hongsheng Li Rui Zhao Xiaogang Wang 33 87 0 15 Dec 2014
Memory Bounded Deep Convolutional Networks Maxwell D. Collins Pushmeet Kohli 45 172 0 03 Dec 2014
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 42 8,309 0 06 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 151 43,511 0 17 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 573 39,383 0 01 Sep 2014
Fastfood: Approximate Kernel Expansions in Loglinear Time Quoc V. Le Tamás Sarlós Alex Smola 42 442 0 13 Aug 2014
Scalable Kernel Methods via Doubly Stochastic Gradients Bo Dai Bo Xie Niao He Yingyu Liang Anant Raj Maria-Florina Balcan Le Song 102 230 0 21 Jul 2014
Caffe: Convolutional Architecture for Fast Feature Embedding Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross B. Girshick S. Guadarrama Trevor Darrell VLM BDL 3DV 118 14,703 0 20 Jun 2014
Convolutional Kernel Networks Julien Mairal Piotr Koniusz Zaïd Harchaoui Cordelia Schmid 49 380 0 12 Jun 2014
Speeding up Convolutional Neural Networks with Low Rank Expansions Max Jaderberg Andrea Vedaldi Andrew Zisserman 98 1,458 0 15 May 2014
One weird trick for parallelizing convolutional neural networks A. Krizhevsky GNN 34 1,297 0 23 Apr 2014
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation Emily L. Denton Wojciech Zaremba Joan Bruna Yann LeCun Rob Fergus FAtt 45 1,682 0 02 Apr 2014
Network In Network Min Lin Qiang Chen Shuicheng Yan 155 6,257 0 16 Dec 2013
Predicting Parameters in Deep Learning Misha Denil B. Shakibi Laurent Dinh MarcÁurelio Ranzato Nando de Freitas OOD 78 1,314 0 03 Jun 2013
Learning where to Attend with Deep Architectures for Image Tracking Misha Denil Loris Bazzani Hugo Larochelle Nando de Freitas 57 205 0 16 Sep 2011
Feature Hashing for Large Scale Multitask Learning Kilian Q. Weinberger A. Dasgupta Josh Attenberg John Langford Alex Smola 59 1,022 0 12 Feb 2009