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Recurrent Neural Networks (RNNs) have become the state-of-the-art choice for extracting patterns from temporal sequences.
Learning state space trajectories in recurrent neural networks
B. A. Pearlmutter · 1989
Earlier work this paper cites.
Approximation of dynamical systems by continuous time recurrent neural networks
K.-I. Funahashi and Y. Nakamura · 1993
Earlier work this paper cites.
An analog VLSI recurrent neural network learning a continuous-time trajectory
G. Cauwenberghs · 1996
Earlier work this paper cites.
Long short-term memory
S. Hochreiter and J. Schmidhuber · 1997
Earlier work this paper cites.
Recurrent nets that time and count
F. A. Gers and J. Schmidhuber · 2000
Earlier work this paper cites.
Rhythms of the Brain
G. Buzsaki · 2006
Earlier work this paper cites.
An audio-visual corpus for speech perception and automatic speech recognition
M. Cooke, J. Barker, S. Cunningham, and X. Shao · 2006
Earlier work this paper cites.
Theano: a CPU and GPU math expression compiler
J. Bergstra, O. Breuleux, F. Bastien, P. Lamblin, R. Pascanu, G. Desjardins, J. Turian, D. Warde-Farley, and Y. Bengio · 2010
Earlier work this paper cites.
Recurrent neural network based language model
T. Mikolov, M. Karafiát, L. Burget, J. Cernockỳ, and S. Khudanpur · 2010
Earlier work this paper cites.
Generating sequences with recurrent neural networks
A. Graves · 2013
Earlier work this paper cites.
Speech recognition with deep recurrent neural networks
A. Graves, A.-R. Mohamed, and G. Hinton · 2013
Cited alongside, same era.
Bayesian computation emerges in generic cortical microcircuits through spike-timing-dependent plasticity
B. Nessler, M. Pfeiffer, L. Buesing, and W. Maass · 2013
Cited alongside, same era.
Real-time classification and sensor fusion with a spiking Deep Belief Network
P. O’Connor, D. Neil, S.-C. Liu, T. Delbruck, and M. Pfeiffer · 2013
Cited alongside, same era.
Neural machine translation by jointly learning to align and translate
D. Bahdanau, K. Cho, and Y. Bengio · 2014
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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
Cited alongside, same era.
Lasagne: First release., Aug. 2015
S. Dieleman et al · 2015
Later among the works it cites.
Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
K. He, X. Zhang, S. Ren, and J. Sun · 2015
Later among the works it cites.
Open source computer vision library
Itseez · 2015
Later among the works it cites.
Converting static image datasets to spiking neuromorphic datasets using saccades
G. Orchard, A. Jayawant, G. Cohen, and N. Thakor · 2015
Later among the works it cites.
Show, attend and tell: Neural image caption generation with visual attention
K. Xu, J. Ba, R. Kiros, K. Cho, A. Courville, R. Salakhutdinov, R. Zemel, and Y. Bengio · 2015
Later among the works it cites.
Skimming digits: Neuromorphic classification of spike-encoded images
G. K. Cohen, G. Orchard, S. H. Ieng, J. Tapson, R. B. Benosman, and A. van Schaik · 2016
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Adam: A method for stochastic optimization
D. Kingma and J. Ba · 2014
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J. Koutnik, K. Greff, F. Gomez, and J. Schmidhuber · 2014
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Retinomorphic event-based vision sensors: bioinspired cameras with spiking outputs
C. Posch, T. Serrano-Gotarredona, B. Linares-Barranco, and T. Delbruck · 2014
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Describing multimedia content using attention-based encoder-decoder networks
K. Cho, A. Courville, and Y. Bengio · 2015
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Effective sensor fusion with event-based sensors and deep network architectures
D. Neil and S.-C. Liu · 2016
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Recurrent dropout without memory loss
S. Semeniuta, A. Severyn, and E. Barth · 2016
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Lipreading with long short-term memory
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