references.bib

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@Misc{mapreduce-wikipedia,
  OPTkey = 	 {},
  OPTauthor = 	 {},
  title = 	 {Map Reduce},
  howpublished = {Wikepedia},
  OPTmonth = 	 {},
  OPTyear = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {},
  URL = {http://en.wikipedia.org/wiki/MapReduce}
}



@INPROCEEDINGS{bergstra2010theano,
  author = {Bergstra, James and Breuleux, Olivier and Bastien, Fr{\'{e}}d{\'{e}}ric
	and Lamblin, Pascal and Pascanu, Razvan and Desjardins, Guillaume
	and Turian, Joseph and Warde-Farley, David and Bengio, Yoshua},
  title = {Theano: a {CPU} and {GPU} Math Expression Compiler},
  booktitle = {Proceedings of the Python for Scientific Computing Conference ({SciPy})},
  year = {2010},
  volume = {4}
}

@INPROCEEDINGS{chu2006mapreduce,
  author = {Chu, Cheng-Tao and Kim, Sang Kyun and Lin, Yi-An and Yu, YuanYuan
	and Bradski, Gary and Ng, Andrew Y and Olukotun, Kunle},
  title = {Map-reduce for machine learning on multicore},
  booktitle = {NIPS},
  year = {2006},
  volume = {6},
  pages = {281--288}
}
@article{bengio2007scaling,
  title={Scaling learning algorithms towards AI},
  author={Bengio, Yoshua and LeCun, Yann},
  journal={Large-Scale Kernel Machines},
  volume={34},
  pages={1--41},
  year={2007}
}
@article{bengio2009learning,
  title={Learning deep architectures for AI},
  author={Bengio, Yoshua},
  journal={Foundations and trends in Machine Learning},
  volume={2},
  number={1},
  pages={1--127},
  year={2009},
  publisher={Now Publishers Inc.}
}

@conference{raina2007stl,
  title={Self-taught learning: transfer learning from unlabeled data},
  author={Raina, R. and Battle, A. and Lee, H. and Packer, B. and Ng, A.Y.},
  booktitle={24th International Conference on Machine learning},
  year={2007},
  pages={759--766},
}
@ARTICLE{lecun1989convnet,
 TITLE = "Backpropagation applied to handwritten zip code recognition",
 AUTHOR = "Y. LeCun and B. Boser and J.~S. Denker and D. Henderson and R.~E. Howard and W. Hubbard and L.~D. Jackel",
 JOURNAL = "Neural Computation",
 VOLUME = "1",
 PAGES = "541-551",
 YEAR = "1989"
 }
@INPROCEEDINGS{lecun2004learningmethods,
    author = {Yann {LeCun} and Fu Jie Huang and L{\'e}on Bottou},
    title = {Learning methods for generic object recognition with invariance to pose and lighting},
    booktitle = {Computer Vision and Pattern Recognition},
    year = {2004},
volume={2},
pages={97--104}
}

@Misc{dahl2012kaggle,
title={{Deep Learning}--{How I Did It}: Merck 1st place interview},
author={George Dahl},
howpublished={Kaggle Blog},
url={http://blog.kaggle.com/2012/11/01/deep-learning-how-i-did-it-merck-1st-place-interview/},
month={November},
day={21},
year={2012},
}

@Misc{dlnytimes,
title={Scientists See Promise in Deep-Learning Programs},
url={http://www.nytimes.com/2012/11/24/science/scientists-see-advances-in-deep-learning-a-part-of-artificial-intelligence.html},
howpublished={The New York Times},
month={November},
year = {2012},
key={Scientists},
day={23},
note={[Appeared in print on November 24, 2012, on page A1]},
}

@Misc{brainnytimes,
title={How Many Computers to Identify a Cat? 16,000},
url={http://www.nytimes.com/2012/06/26/technology/in-a-big-network-of-computers-evidence-of-machine-learning.html},
howpublished={The New York Times},
month={June},
year = {2012},
key={How Many},
day={25},
note={[Appeared in print on June 26, 2012, on page B1]},
}



@ARTICLE{ciresan2010big,
  author = {Ciresan, Dan Claudiu and Meier, Ueli and Gambardella, Luca Maria
	and Schmidhuber, J{\"u}rgen},
  title = {Deep, big, simple neural nets for handwritten digit recognition},
  journal = {Neural computation},
  year = {2010},
  volume = {22},
  pages = {3207--3220},
  number = {12},
  publisher = {MIT Press}
}

@INPROCEEDINGS{coates2013icml,
  author = {Adam Coates and Brody Huval and Tao Wang and David J. Wu and Andrew~Y.
	Ng and Bryan Catanzaro},
  title = {Deep Learning with {COTS HPC}},
  booktitle = {Proceedings of The 30th International Conference on Machine Learning},
  year = {2013},
  pages = {1337--1345}
}

@INPROCEEDINGS{coates2012nips,
  author = {Adam Coates and Andrej Karpathy and Andrew~Y. Ng},
  title = {On the Emergence of Object-Selective Features in Unsupervised Feature
	Learning},
  booktitle = {Advances in Neural Information Processing Systems},
  year = {2012},
  volume = {25},
  pages = {2690--2698}
}

@INPROCEEDINGS{coates2011aistats,
  author = {Coates, Adam and Lee, Honglak and Ng, Andrew Y.},
  title = {An analysis of single-layer networks in unsupervised feature learning},
  booktitle = {International Conference on Artificial Intelligence and Statistics},
  year = {2011},
  pages = {215--223}
}

@INPROCEEDINGS{coates2011nips,
  author = {Coates, Adam and Ng, Andrew Y},
  title = {Selecting Receptive Fields in Deep Networks.},
  booktitle = {Advances in Neural Information Processing Systems},
  year = {2011},
  volume = {5},
  pages = {8}
}

@INPROCEEDINGS{collobert2011torch7,
  author = {Collobert, Ronan and Farabet, Cl{\'e}ment and Kavukcuoglu, Koray},
  title = {Torch7: A matlab-like environment for machine learning},
  booktitle = {BigLearn, NIPS Workshop},
  year = {2011},
  number = {EPFL-CONF-192376}
}

@ARTICLE{collobert2011nlp,
  author = {Collobert, Ronan and Weston, Jason and Bottou, L{\'e}on and Karlen,
	Michael and Kavukcuoglu, Koray and Kuksa, Pavel},
  title = {Natural language processing (almost) from scratch},
  journal = {The Journal of Machine Learning Research},
  year = {2011},
  volume = {12},
  pages = {2493--2537},
  publisher = {JMLR. org}
}

@article{bengio2012review,
  title={Representation learning: A review and new perspectives},
  author={Bengio, Yoshua and Courville, Aaron and Vincent, Pascal},
  journal={arXiv:1206.5538},
  year={2012},
  url={http://arxiv.org/pdf/1206.5538v2.pdf}
}

@ARTICLE{dahlTASLP2012,
  author = {Dahl, G.E. and Dong Yu and Li Deng and Acero, A.},
  title = {Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary
	Speech Recognition},
  journal = {Audio, Speech, and Language Processing, IEEE Transactions on},
  year = {2012},
  volume = {20},
  pages = {30 -42},
  number = {1},
  month = {jan. },
  doi = {10.1109/TASL.2011.2134090},
  issn = {1558-7916}
}

@INPROCEEDINGS{gain,
  author = {Daily, Jeff and Lewis, Robert R.},
  title = {Poster: Automatic Parallelization of Numerical Python Applications
	Using the Global Arrays Toolkit},
  booktitle = {Proceedings of the 2011 Companion on High Performance Computing Networking,
	Storage and Analysis Companion},
  year = {2011},
  series = {SC '11 Companion},
  pages = {43--44},
  address = {New York, NY, USA},
  publisher = {ACM},
  acmid = {2148623},
  doi = {10.1145/2148600.2148623},
  isbn = {978-1-4503-1030-7},
  keywords = {GAIN, NumPy, PGAS, global arrays, python},
  location = {Seattle, Washington, USA},
  numpages = {2},
  url = {http://doi.acm.org/10.1145/2148600.2148623}
}

@INPROCEEDINGS{dean2012largescale,
  author = {Jeffrey Dean and Greg S. Corrado and Rajat Monga and Kai Chen and
	Matthieu Devin and Quoc V. Le and Mark Z. Mao and Marc'Aurelio Ranzato
	and Andrew Senior and Paul Tucker and Ke Yang and Andrew Y\ . Ng},
  title = {Large Scale Distributed Deep Networks},
  booktitle = {Advances in Neural Information Processing Systems 25},
  year = {2012}
}

@ARTICLE{dean2008mapreduce,
  author = {Dean, Jeffrey and Ghemawat, Sanjay},
  title = {MapReduce: simplified data processing on large clusters},
  journal = {Communications of the ACM},
  year = {2008},
  volume = {51},
  pages = {107--113},
  number = {1},
  publisher = {ACM}
}


@ARTICLE{goodfellow2013pylearn,
  author = {Goodfellow, Ian J. and Warde-Farley, David and Lamblin, Pascal and
	Dumoulin, Vincent and Mirza, Mehdi and Pascanu, Razvan and Bergstra,
	James and Bastien, Fr{\'{e}}d{\'{e}}ric and Bengio, Yoshua},
  title = {Pylearn2: a machine learning research library},
  journal = {arXiv preprint arXiv:1308.4214},
  year = {2013},
  url = {http://arxiv.org/abs/1308.4214}
}

@ARTICLE{hinton2006dbn,
  author = {Hinton, G.E. and Osindero, S. and Teh, Y.W.},
  title = {A fast learning algorithm for deep belief nets},
  journal = {Neural Computation},
  year = {2006},
  volume = {18},
  pages = {1527--1554},
  number = {7}
}

@ARTICLE{pycuda,
  author = {Kl\"{o}ckner, Andreas and Pinto, Nicolas and Lee, Yunsup and Catanzaro,
	Bryan and Ivanov, Paul and Fasih, Ahmed},
  title = {PyCUDA and PyOpenCL: A Scripting-based Approach to GPU Run-time Code
	Generation},
  journal = {Parallel Comput.},
  year = {2012},
  volume = {38},
  pages = {157--174},
  number = {3},
  month = mar,
  acmid = {2109321},
  address = {Amsterdam, The Netherlands, The Netherlands},
  doi = {10.1016/j.parco.2011.09.001},
  issn = {0167-8191},
  issue_date = {March, 2012},
  numpages = {18},
  publisher = {Elsevier Science Publishers B. V.},
  url = {http://dx.doi.org/10.1016/j.parco.2011.09.001}
}

@INPROCEEDINGS{krizhevsky2012imagenet,
  author = {Krizhevsky, Alex and Sutskever, Ilya and Hinton, Geoff},
  title = {ImageNet classification with deep convolutional neural networks},
  booktitle = {Advances in Neural Information Processing Systems 25},
  year = {2012},
  volume = {1},
  number = {2},
  pages = {4}
}

@INPROCEEDINGS{le2012icml,
  author = {Q.V. Le and M.A. Ranzato and R. Monga and M. Devin and K. Chen and
	G.S. Corrado and J. Dean and A.Y. Ng.},
  title = {Building high-level features using large scale unsupervised learning},
  booktitle = {International Conference on Machine Learning},
  year = {2012},
  pages = {8595--8598}
}

@inproceedings{le2010tiled,
author={Q. V. Le and J. Ngiam and Z. Chen and D. Chia and P. W. Koh and A. Ng},
title={Tiled convolutional neural networks},
booktitle={Advances in Neural Information Processing Systems},
year={2010},
url={http://ai.stanford.edu/~quocle/LeNgiamChenChiaKohNg10.pdf},
}

@inproceedings{saxe2010plastic,
author={A. Saxe and M. Bhand and R. Mudur and B. Suresh and A. Maas and A. Ng},
title={Modeling polysensory plasticity with unsupervised feature learning},
}

@inproceedings{le2011isa,
author={Le, Q. V. and Zou, W. and Yeung, S. and Ng, A.},
title={Learning hierarchical spatio-temporal features for action recognition with independent subspace analysis},
booktitle={Computer Vision and Pattern Recognition},
year={2011},
url={http://www.cs.stanford.edu/people/ang/papers/cvpr11-ActionRecognitionISA.pdf}
}


@ARTICLE{globalarrays,
  author = {Jaroslaw Nieplocha and Robert J. Harrison and Richard J. Littlefield},
  title = {Global Arrays: A Non-Uniform-Memory-Access Programming Model For
	High-Performance Computers},
  journal = {THE JOURNAL OF SUPERCOMPUTING},
  year = {1996},
  volume = {10},
  pages = {10--197}
}

@ARTICLE{scikit-learn,
  author = {Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V. and
	Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofer, P. and
	Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos, A. and Cournapeau,
	D. and Brucher, M. and Perrot, M. and Duchesnay, E.},
  title = {Scikit-learn: Machine Learning in {P}ython},
  journal = {Journal of Machine Learning Research},
  year = {2011},
  volume = {12},
  pages = {2825--2830}
}

@INPROCEEDINGS{raina2009large,
  author = {Raina, Rajat and Madhavan, Anand and Ng, Andrew Y},
  title = {Large-scale deep unsupervised learning using graphics processors.},
  booktitle = {International Conference on Machine Learning},
  year = {2009},
  volume = {9},
  pages = {873--880}
}

@ARTICLE{rumelhart1986backprop,
  author = {Rumelhart, D.E. and Hinton, G.E. and Williams, R.J.},
  title = {Learning representations by back-propagating errors},
  journal = {Nature},
  year = {1986},
  volume = {323},
  pages = {533--536},
  number = {6088}
}

@ARTICLE{pybrain2010jmlr,
  author = {Schaul, Tom and Bayer, Justin and Wierstra, Daan and Sun, Yi and
	Felder, Martin and Sehnke, Frank and R{\"u}ckstie{\ss}, Thomas and
	Schmidhuber, J{\"u}rgen},
  title = {{PyBrain}},
  journal = {Journal of Machine Learning Research},
  year = {2010},
  volume = {11},
  pages = {743--746}
}

@INPROCEEDINGS{socher2011rnn,
  author = {Richard Socher and Cliff C. Lin and Andrew Y. Ng and Christopher
	D. Manning},
  title = {{Parsing Natural Scenes and Natural Language with Recursive Neural
	Networks}},
  booktitle = {Proceedings of the 28th International Conference on Machine Learning
	(ICML-11)},
  year = {2011},
  pages = {129--136}
}

@INPROCEEDINGS{OptiML,
  author = {Arvind K. Sujeeth and Hyoukjoong Lee and Kevin J. Brown and Hassan
	Chafi and Michael Wu and Anand R. Atreya and Kunle Olukotun and Tiark
	Rompf and Martin Odersky},
  title = {OptiML: an implicitly parallel domainspecific language for machine
	learning},
  booktitle = {Proceedings of the 28th International Conference on Machine Learning
	(ICML-11)},
  year = {2011},
  pages = {609--616}
}

@INPROCEEDINGS{zeiler2011adaptive,
  author = {Zeiler, Matthew D and Taylor, Graham W and Fergus, Rob},
  title = {Adaptive deconvolutional networks for mid and high level feature
	learning},
  booktitle = {Computer Vision (ICCV), 2011 IEEE International Conference on},
  year = {2011},
  pages = {2018-2025},
  month = {Nov},
  doi = {10.1109/ICCV.2011.6126474},
  issn = {1550-5499}
}

@Misc{cudaconvnet,
title={cuda-convnet Home Page},
howpublished={Web Page},
url={http://code.google.com/p/cuda-convnet/},
key={cudaconvnet}
}
@MISC{numba,
  title = {NUMBA Home Page},
  howpublished = {Web Page},
  key = {NUMBA},
  url = {http://numba.pydata.org/}
}

@MISC{www-futuregrid,
  title = {FutureGrid Home Page},
  howpublished = {Web Page},
  key = {FutureGrid},
  url = {https://portal.futuregrid.org/}
}

@book{George11hbase,
  title={HBase: the definitive guide},
  author={George, Lars},
  year={2011},
  publisher={O'Reilly Media, Inc.}
}