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master.bib
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master.bib
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@book{Goodfellow-et-al-2016,
title={Deep Learning},
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publisher={MIT Press},
note={\url{http://www.deeplearningbook.org}},
year={2016}
}
@inproceedings{Larsen:2017:SRS:3122948.3122952,
author = {Larsen, Rasmus Wriedt and Henriksen, Troels},
title = {Strategies for Regular Segmented Reductions on GPU},
booktitle = {Proceedings of the 6th ACM SIGPLAN International Workshop on Functional High-Performance Computing},
series = {FHPC 2017},
year = {2017},
isbn = {978-1-4503-5181-2},
location = {Oxford, UK},
pages = {42--52},
numpages = {11},
url = {http://doi.acm.org/10.1145/3122948.3122952},
doi = {10.1145/3122948.3122952},
acmid = {3122952},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {GPGPU, functional programming, parallelism},
}
@article{DBLP:journals/corr/abs-1712-06567,
author = {Felipe Petroski Such and
Vashisht Madhavan and
Edoardo Conti and
Joel Lehman and
Kenneth O. Stanley and
Jeff Clune},
title = {Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative
for Training Deep Neural Networks for Reinforcement Learning},
journal = {CoRR},
volume = {abs/1712.06567},
year = {2017},
url = {http://arxiv.org/abs/1712.06567},
archivePrefix = {arXiv},
eprint = {1712.06567},
timestamp = {Thu, 04 Jan 2018 12:38:35 +0100},
biburl = {https://dblp.org/rec/bib/journals/corr/abs-1712-06567},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{Henriksen:2016:DGP:2935323.2935326,
author = {Henriksen, Troels and Larsen, Ken Friis and Oancea, Cosmin E.},
title = {{Design and GPGPU Performance of Futhark's Redomap Construct}},
booktitle = {Proceedings of the 3rd ACM SIGPLAN International Workshop on Libraries, Languages, and Compilers for Array Programming},
series = {ARRAY 2016},
year = {2016},
isbn = {978-1-4503-4384-8},
location = {Santa Barbara, CA, USA},
pages = {17--24},
numpages = {8},
url = {http://doi.acm.org/10.1145/2935323.2935326},
doi = {10.1145/2935323.2935326},
acmid = {2935326},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {GPGPU, autoparallelization, functional language, map-reduce},
}
@INPROCEEDINGS{ICFP18,
author = {Martin Elsman and Troels Henriksen and Danil Annenkov and Cosmin E Oancea, 2018},
booktitle= {{Functional GPU Programming in the Large}},
title = {{Static Interpretation of Higher-Order Modules in Futhark}},
journal = {ICFP},
year = {September 2018},
note = {\url{https://doi.org/10.1145/3236792}},
issue_date = {September 2018},
number = {Article 97},
pages = {30 pages},
publisher = {ACM Program}
}
@article{Henriksen:2017:FPF:3140587.3062354,
author = {Henriksen, Troels and Serup, Niels G. W. and Elsman, Martin and Henglein, Fritz and Oancea, Cosmin E.},
title = {{Futhark: Purely Functional GPU-programming with Nested Parallelism and In-place Array Updates}},
journal = {SIGPLAN Not.},
issue_date = {June 2017},
volume = {52},
number = {6},
month = jun,
year = {2017},
issn = {0362-1340},
pages = {556--571},
numpages = {16},
url = {http://doi.acm.org/10.1145/3140587.3062354},
doi = {10.1145/3140587.3062354},
acmid = {3062354},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {GPGPU, compilers, functional language, parallel},
}
@article{LeCun:1989:BAH:1351079.1351090,
author = {LeCun, Y. and Boser, B. and Denker, J. S. and Henderson, D. and Howard, R. E. and Hubbard, W. and Jackel, L. D.},
title = {Backpropagation Applied to Handwritten Zip Code Recognition},
journal = {Neural Comput.},
issue_date = {Winter 1989},
volume = {1},
number = {4},
month = dec,
year = {1989},
issn = {0899-7667},
pages = {541--551},
numpages = {11},
url = {http://dx.doi.org/10.1162/neco.1989.1.4.541},
doi = {10.1162/neco.1989.1.4.541},
acmid = {1351090},
publisher = {MIT Press},
address = {Cambridge, MA, USA},
}
@article{rumelhart1986learning,
added-at = {2018-06-03T13:17:55.000+0200},
author = {Rumelhart, David E. and Hinton, Geoffrey E. and Williams, Ronald J.},
biburl = {https://www.bibsonomy.org/bibtex/25d95851c0f627ab11747a2e481ecbad6/achakraborty},
description = {Learning representations by back-propagating errors | Nature},
interhash = {c354bc293fa9aa7caffc66d40a014903},
intrahash = {5d95851c0f627ab11747a2e481ecbad6},
journal = {Nature},
keywords = {deep-learning nature neural-networks paper},
month = oct,
pages = {533--},
publisher = {Nature Publishing Group},
timestamp = {2018-06-03T13:17:55.000+0200},
title = {Learning representations by back-propagating errors},
url = {http://dx.doi.org/10.1038/323533a0},
volume = 323,
year = 1986
}
@book{minsky69perceptrons,
added-at = {2008-05-16T13:57:01.000+0200},
address = {Cambridge, MA, USA},
author = {Minsky, Marvin and Papert, Seymour},
biburl = {https://www.bibsonomy.org/bibtex/206a5a6751b3e61408455fca2ed8d87fc/sb3000},
description = {: mf : blob : » bibtex},
interhash = {d80d4948a422623047f1b800272c0389},
intrahash = {06a5a6751b3e61408455fca2ed8d87fc},
keywords = {linear-classification neural-networks seminal},
publisher = {MIT Press},
timestamp = {2008-05-16T13:57:02.000+0200},
title = {Perceptrons: An Introduction to Computational Geometry},
year = 1969
}
@book{DeepGrid,
title={Backpropagation in Convolutional Neural Networks},
author={Jefkine Kafunah},
publisher={Stanford},
note={\url{https://canvas.stanford.edu/files/1041875/download? download_frd=1&verifier=tFv4Jc7bCezxJg9rG2yhEKEERi70zJ3ScmFbNlbN}},
year={2016}
}
@INPROCEEDINGS{Performance,
author={H. Kim and H. Nam and W. Jung and J. Lee},
booktitle={{2017 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)}},
title={{Performance analysis of CNN frameworks for GPUs}},
year={2017},
volume={},
number={},
pages={55-64},
doi={10.1109/ISPASS.2017.7975270},
ISSN={},
month={April},}
@article{DBLP:journals/corr/Lavin15b,
author = {Andrew Lavin},
title = {Fast Algorithms for Convolutional Neural Networks},
journal = {CoRR},
volume = {abs/1509.09308},
year = {2015},
url = {http://arxiv.org/abs/1509.09308},
archivePrefix = {arXiv},
eprint = {1509.09308},
timestamp = {Wed, 07 Jun 2017 14:40:45 +0200},
biburl = {https://dblp.org/rec/bib/journals/corr/Lavin15b},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1801-01078,
author = {Hojjat Salehinejad and
Julianne Baarbe and
Sharan Sankar and
Joseph Barfett and
Errol Colak and
Shahrokh Valaee},
title = {{Recent Advances in Recurrent Neural Networks}},
journal = {CoRR},
volume = {abs/1801.01078},
year = {2018},
url = {http://arxiv.org/abs/1801.01078},
archivePrefix = {arXiv},
eprint = {1801.01078},
timestamp = {Thu, 01 Feb 2018 19:52:26 +0100},
biburl = {https://dblp.org/rec/bib/journals/corr/abs-1801-01078},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/ChetlurWVCTCS14,
author = {Sharan Chetlur and
Cliff Woolley and
Philippe Vandermersch and
Jonathan Cohen and
John Tran and
Bryan Catanzaro and
Evan Shelhamer},
title = {cuDNN: Efficient Primitives for Deep Learning},
journal = {CoRR},
volume = {abs/1410.0759},
year = {2014},
url = {http://arxiv.org/abs/1410.0759},
archivePrefix = {arXiv},
eprint = {1410.0759},
timestamp = {Wed, 07 Jun 2017 14:40:09 +0200},
biburl = {https://dblp.org/rec/bib/journals/corr/ChetlurWVCTCS14},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@INPROCEEDINGS{Glorot10understandingthe,
author = {Xavier Glorot and Yoshua Bengio},
title = {Understanding the difficulty of training deep feedforward neural networks},
booktitle = {In Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS’10). Society for Artificial Intelligence and Statistics},
year = {2010}
}
@article{DBLP:journals/corr/VasilacheJMCPL14,
author = {Nicolas Vasilache and
Jeff Johnson and
Micha{\"{e}}l Mathieu and
Soumith Chintala and
Serkan Piantino and
Yann LeCun},
title = {{Fast Convolutional Nets With fbfft: {A} {GPU} Performance Evaluation}},
journal = {CoRR},
volume = {abs/1412.7580},
year = {2014},
url = {http://arxiv.org/abs/1412.7580},
archivePrefix = {arXiv},
eprint = {1412.7580},
timestamp = {Wed, 07 Jun 2017 14:41:54 +0200},
biburl = {https://dblp.org/rec/bib/journals/corr/VasilacheJMCPL14},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{He:2015:DDR:2919332.2919814,
author = {He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
title = {{Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification}},
booktitle = {Proceedings of the 2015 IEEE International Conference on Computer Vision (ICCV)},
series = {ICCV '15},
year = {2015},
isbn = {978-1-4673-8391-2},
pages = {1026--1034},
numpages = {9},
url = {http://dx.doi.org/10.1109/ICCV.2015.123},
doi = {10.1109/ICCV.2015.123},
acmid = {2919814},
publisher = {IEEE Computer Society},
address = {Washington, DC, USA},
}
@misc{nvidia,
author = {NVIDIA},
title = {Deep Learning SDK documentation},
year = 2018,
note= {\url{https://docs.nvidia.com/deeplearning/sdk/cudnn-developer-guide/index.html}},
urldate = {2018-07-20}
}
@misc{benchmark,
author = {Soumith Chintala},
title = {convnet-benchmarks},
year = {2018},
note = {\url{https://github.com/soumith/convnet-benchmarks}},
urldate = {2018-07-26}
}
@misc{sudeep,
author = {Sudeep Raja},
title = {A Derivation of Backpropagation in Matrix Form},
year = 2017,
note = {\url{https://sudeepraja.github.io/Neural/}},
urldate = {2018-07-20}
}
@misc{aymericdamein,
author = {Aymeric Damien},
title = {TensorFlow-Examples},
year = 2018,
note = {\url{https://github.com/aymericdamien/TensorFlow-Examples/tree/master/examples}},
urldate = {2018-07-20}
}
@book{Bishop:2006:PRM:1162264,
author = {Bishop, Christopher M.},
title = {Pattern Recognition and Machine Learning (Information Science and Statistics)},
year = {2006},
isbn = {0387310738},
publisher = {Springer-Verlag},
address = {Berlin, Heidelberg},
}
@article{DBLP:journals/corr/KeskarMNST16,
author = {Nitish Shirish Keskar and
Dheevatsa Mudigere and
Jorge Nocedal and
Mikhail Smelyanskiy and
Ping Tak Peter Tang},
title = {On Large-Batch Training for Deep Learning: Generalization Gap and
Sharp Minima},
journal = {CoRR},
volume = {abs/1609.04836},
year = {2016},
url = {http://arxiv.org/abs/1609.04836},
archivePrefix = {arXiv},
eprint = {1609.04836},
timestamp = {Wed, 07 Jun 2017 14:42:16 +0200},
biburl = {https://dblp.org/rec/bib/journals/corr/KeskarMNST16},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{mcculloch43a,
added-at = {2008-02-26T11:58:58.000+0100},
author = {Mcculloch, Warren and Pitts, Walter},
biburl = {https://www.bibsonomy.org/bibtex/26fbacb0ae04bc17d296d9265dfc90dff/schaul},
citeulike-article-id = {2380493},
description = {idsia},
interhash = {3e8e0d06f376f3eb95af89d5a2f15957},
intrahash = {6fbacb0ae04bc17d296d9265dfc90dff},
journal = {Bulletin of Mathematical Biophysics},
keywords = {evolutionary},
pages = {127--147},
priority = {2},
timestamp = {2008-02-26T12:00:58.000+0100},
title = {A Logical Calculus of Ideas Immanent in Nervous Activity},
volume = 5,
year = 1943
}
@article{Rosenblatt58theperceptron,
author = {F. Rosenblatt},
title = {The Perceptron: A Probabilistic Model for Information Storage and Organization in The Brain},
journal = {Psychological Review},
year = {1958},
pages = {65--386}
}