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Despite the recent achievements in machine learning, we are still very far from achieving real artificial intelligence.
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A recurrent neural network that learns to count
P. Rodriguez, J. Wiles, and J. L. Elman · 1999
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Context-free and context-sensitive dynamics in recurrent neural networks
M. Bodén and J. Wiles · 2000
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Fractal encoding of context-free grammars in connectionist networks
W. Tabor · 2000
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Random forests
L. Breiman · 2001
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Lstm recurrent networks learn simple context-free and context-sensitive languages
F. A. Gers and J. Schmidhuber · 2001
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Pattern recognition and machine learning
C. M. Bishop · 2006
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Learning phrase representations using rnn encoder-decoder for statistical machine translation
K Cho, B. van Merrienboer, C. Gulcehre, F. Bougares, H. Schwenk, and Y. Bengio · 2014
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Neural turing machines
A. Graves, G. Wayne, and I. Danihelka · 2014
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Learning longer memory in recurrent neural networks
T. Mikolov, A. Joulin, S. Chopra, M. Mathieu, and M. A. Ranzato · 2014
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Learning to execute
W. Zaremba and I. Sutskever · 2014
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Gated feedback recurrent neural networks
J. Chung, C. Gulcehre, K Cho, and Y. Bengio · 2015
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Memory networks
J. Weston, S. Chopra, and A. Bordes · 2015
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