Do Deep Convolutional Nets Really Need to be Deep and Convolutional?

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Do Deep Convolutional Nets Really Need to be Deep and Convolutional?

17 March 2016

Krzysztof J. Geras

Samira Ebrahimi Kahou

Abdel-rahman Mohamed

Matthai Philipose

Matthew Richardson

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Papers citing "Do Deep Convolutional Nets Really Need to be Deep and Convolutional?"

18 / 18 papers shown

Title
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,641 0 10 Dec 2015
Blending LSTMs into CNNs Krzysztof J. Geras Abdel-rahman Mohamed R. Caruana G. Urban Shengjie Wang Ozlem Aslan Matthai Philipose Matthew Richardson Charles Sutton 70 60 0 19 Nov 2015
Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning Emilio Parisotto Jimmy Lei Ba Ruslan Salakhutdinov OffRL 113 599 0 19 Nov 2015
Policy Distillation Andrei A. Rusu Sergio Gomez Colmenarejo Çağlar Gülçehre Guillaume Desjardins J. Kirkpatrick Razvan Pascanu Volodymyr Mnih Koray Kavukcuoglu R. Hadsell 105 696 0 19 Nov 2015
How far can we go without convolution: Improving fully-connected networks Zhouhan Lin Roland Memisevic K. Konda 61 52 0 09 Nov 2015
Training Very Deep Networks R. Srivastava Klaus Greff Jürgen Schmidhuber 165 1,687 0 22 Jul 2015
Transferring Knowledge from a RNN to a DNN William Chan Nan Rosemary Ke Ian Lane 71 75 0 07 Apr 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 367 19,745 0 09 Mar 2015
Scalable Bayesian Optimization Using Deep Neural Networks Jasper Snoek Oren Rippel Kevin Swersky Ryan Kiros N. Satish N. Sundaram Md. Mostofa Ali Patwary P. Prabhat Ryan P. Adams BDL UQCV 97 1,045 0 19 Feb 2015
FitNets: Hints for Thin Deep Nets Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang C. Gatta Yoshua Bengio FedML 328 3,906 0 19 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,575 0 04 Sep 2014
Scheduled denoising autoencoders Krzysztof J. Geras Charles Sutton 103 47 0 12 Jun 2014
Zero-bias autoencoders and the benefits of co-adapting features K. Konda Roland Memisevic David M. Krueger AI4CE 106 92 0 13 Feb 2014
Do Deep Nets Really Need to be Deep? Lei Jimmy Ba R. Caruana 188 2,120 0 21 Dec 2013
Understanding Deep Architectures using a Recursive Convolutional Network David Eigen J. Rolfe Rob Fergus Yann LeCun AI4CE FAtt 99 146 0 06 Dec 2013
Big Neural Networks Waste Capacity Yann N. Dauphin Yoshua Bengio 110 84 0 16 Jan 2013
Theano: new features and speed improvements Frédéric Bastien Pascal Lamblin Razvan Pascanu James Bergstra Ian Goodfellow Arnaud Bergeron Nicolas Bouchard David Warde-Farley Yoshua Bengio 100 1,420 0 23 Nov 2012
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 382 7,981 0 13 Jun 2012