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This work presents a new algorithm called evolutionary exploration of augmenting convolutional topologies (EXACT), which is capable of evolving the structure of convolutional neural networks (CNNs).
Gradient-based learning applied to document recognition
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner · 1998
Earlier work this paper cites.
The mnist database of handwritten digits, 1998
Y. LeCun, C. Cortes, and C. J. Burges · 1998
Earlier work this paper cites.
Evolving neural networks through augmenting topologies
K. Stanley and R. Miikkulainen · 2002
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High-performance task distribution for volunteer computing
D. P. Anderson, E. Korpela, and R. Walton · 2005
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A fast learning algorithm for deep belief nets
G. Hinton, S. Osindero, and Y.-W. Teh · 2006
Earlier work this paper cites.
Accelerated neural evolution through cooperatively coevolved synapses
F. Gomez, J. Schmidhuber, and R. Miikkulainen · 2008
Earlier work this paper cites.
80 million tiny images: A large data set for nonparametric object and scene recognition
A. Torralba, R. Fergus, and W. T. Freeman · 2008
Earlier work this paper cites.
Pymw-a python module for desktop grid and volunteer computing
E. M. Heien, Y. Takata, K. Hagihara, and A. Kornafeld · 2009
Earlier work this paper cites.
Learning multiple layers of features from tiny images
A. Krizhevsky and G. Hinton · 2009
Earlier work this paper cites.
A hypercube-based encoding for evolving large-scale neural networks
K. O. Stanley, D. B. D’Ambrosio, and J. Gauci · 2009
Earlier work this paper cites.
Volunteer computing: the ultimate cloud
D. P. Anderson · 2010
Earlier work this paper cites.
An analysis of massively distributed evolutionary algorithms
T. Desell, D. Anderson, M. Magdon-Ismail, B. S. Heidi Newberg, and C. Varela · 2010
Earlier work this paper cites.
Theano: Deep learning on gpus with python
J. Bergstra, F. Bastien, O. Breuleux, P. Lamblin, R. Pascanu, O. Delalleau, G. Desjardins, D. Warde-Farley, I. Goodfellow, A. Bergeron, et al · 2011
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Theano: new features and speed improvements
F. Bastien, P. Lamblin, R. Pascanu, J. Bergstra, I. Goodfellow, A. Bergeron, N. Bouchard, D. Warde-Farley, and Y. Bengio · 2012
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Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups
G. Hinton, L. Deng, D. Yu, G. E. Dahl, A.-r. Mohamed, N. Jaitly, A. Senior, V. Vanhoucke, P. Nguyen, T. N. Sainath, et al · 2012
Cited alongside, same era.
Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Cited alongside, same era.
Advances in optimizing recurrent networks
Y. Bengio, N. Boulanger-Lewandowski, and R. Pascanu · 2013
Cited alongside, same era.
Evolving deep recurrent neural networks using ant colony optimization
T. Desell, S. Clachar, J. Higgins, and B. Wild · 2015
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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
K. He, X. Zhang, S. Ren, and J. Sun · 2015
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Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Neural architecture search with reinforcement learning
B. Zoph and Q. V. Le · 2016
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BOINC stats, 2017
BoincStats · 2017
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Caffe: Convolutional architecture for fast feature embedding
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell · 2014
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Large-scale video classification with convolutional neural networks
A. Karpathy, G. Toderici, S. Shetty, T. Leung, R. Sukthankar, and L. Fei-Fei · 2014
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Convolutional neural networks for sentence classification
Y. Kim · 2014
Cited alongside, same era.
Evolving deep unsupervised convolutional networks for vision-based reinforcement learning
J. Koutník, J. Schmidhuber, and F. Gomez · 2014
Cited alongside, same era.
A novel ant colony algorithm for building neural network topologies
K. Salama and A. M. Abdelbar · 2014
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
Cited alongside, same era.
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What is gridcoin?, 2017
Gridcoin · 2017
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R. Miikkulainen, J. Liang, E. Meyerson, A. Rawal, D. Fink, O. Francon, B. Raju, H. Shahrzad, A. Navruzyan, N. Duffy, and B. Hodjat · 2017
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VMWrapper, 2017
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