Deep Learning At Scale and At Ease

Deep Learning At Scale and At Ease

25 March 2016

Tien Tuan Anh Dinh

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Papers citing "Deep Learning At Scale and At Ease"

19 / 19 papers shown

Title
Training Deep Nets with Sublinear Memory Cost Tianqi Chen Bing Xu Chiyuan Zhang Carlos Guestrin 106 1,172 0 21 Apr 2016
Revisiting Distributed Synchronous SGD Jianmin Chen Xinghao Pan R. Monga Samy Bengio Rafal Jozefowicz 87 801 0 04 Apr 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems Martín Abadi Ashish Agarwal P. Barham E. Brevdo Zhiwen Chen ... Pete Warden Martin Wattenberg Martin Wicke Yuan Yu Xiaoqiang Zheng 282 11,150 0 14 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems Tianqi Chen Mu Li Yutian Li Min Lin Naiyan Wang Minjie Wang Tianjun Xiao Bing Xu Chiyuan Zhang Zheng Zhang 198 2,248 0 03 Dec 2015
Deep Image: Scaling up Image Recognition Ren Wu Shengen Yan Yi Shan Qingqing Dang Gang Sun VLM 70 374 0 13 Jan 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 485 43,694 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,508 0 04 Sep 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 280 14,712 0 20 Jun 2014
One weird trick for parallelizing convolutional neural networks A. Krizhevsky GNN 93 1,303 0 23 Apr 2014
DimmWitted: A Study of Main-Memory Statistical Analytics Ce Zhang Christopher Ré 142 145 0 28 Mar 2014
Petuum: A New Platform for Distributed Machine Learning on Big Data Eric P. Xing Qirong Ho Wei-Ming Dai Jin Kyu Kim Jinliang Wei Seunghak Lee Xun Zheng Junming Yin Abhimanu Kumar Eric Xing 102 35 0 30 Dec 2013
GPU Asynchronous Stochastic Gradient Descent to Speed Up Neural Network Training T. Paine Hailin Jin Jianchao Yang Zhe Lin Thomas Huang 110 98 0 21 Dec 2013
Multi-GPU Training of ConvNets Guillermo A. Castillo Keith Adams Yaniv Taigman Ayonga Hereid 70 101 0 20 Dec 2013
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 402 33,560 0 16 Oct 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 97 1,419 0 23 Nov 2012
Building high-level features using large scale unsupervised learning Quoc V. Le MarcÁurelio Ranzato R. Monga M. Devin Kai Chen G. Corrado J. Dean A. Ng SSL OffRL CVBM 122 2,272 0 29 Dec 2011
HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent Feng Niu Benjamin Recht Christopher Ré Stephen J. Wright 201 2,274 0 28 Jun 2011
Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition D. Ciresan U. Meier L. Gambardella Jürgen Schmidhuber 122 994 0 01 Mar 2010