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Recurrent neural networks (RNNs) have proved effective at one dimensional sequence learning tasks, such as speech and online handwriting recognition.
Probabilistic interpretation of feedforward classification network outputs, with relationships to statistical pattern recognition
J.S. Bridle · 1990
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Gradient-based learning algorithms for recurrent networks and their computational complexity
R. J. Williams and D. Zipser · 1995
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Long Short-Term Memory
S. Hochreiter and J. Schmidhuber · 1997
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Bidirectional recurrent neural networks
M. Schuster and K. K. Paliwal · 1997
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Gradient-based learning applied to document recognition
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner · 1998
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Image classification by a two-dimensional hidden markov model
J. (Stanford Univ) Li, A. Najmi, and R. M. Gray · 2000
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Gradient flow in recurrent nets: the difficulty of learning long-term dependencies
S. Hochreiter, Y. Bengio, P. Frasconi, and J. Schmidhuber · 2001
Cited alongside, same era.
Facial expression recognition with pseudo-3d hidden markov models
F. Hülsken, F. Wallhoff, and G. Rigoll · 2001
Cited alongside, same era.
Learning precise timing with LSTM recurrent networks
F. Gers, N. Schraudolph, and J. Schmidhuber · 2002
Cited alongside, same era.
Best practices for convolutional neural networks applied to visual document analysis
P. Y. Simard, D. Steinkraus, and J. C. Platt · 2003
Cited alongside, same era.
Bidirectional LSTM networks for improved phoneme classification and recognition
A. Graves, S. Fernández, and J. Schmidhuber · 2005
Cited alongside, same era.
Framewise phoneme classification with bidirectional LSTM and other neural network architectures
A. Graves and J. Schmidhuber · 2005
Later among the works it cites.
Parameter estimation of multi-dimensional hidden markov models: A scalable approach
D. Joshi, J. Li, and J.Z. Wang · 2005
Later among the works it cites.
Connectionist temporal classification: Labelling unsegmented sequence data with recurrent neural networks
A. Graves, S. Fernández, F. Gomez, and J. Schmidhuber · 2006
Later among the works it cites.
Multi-dimensional dependency-tree hidden Markov models
J. Jiten, B. Mérialdo, and B. Huet · 2006
Later among the works it cites.
A novel approach to on-line handwriting recognition based on bidirectional long short-term memory networks
M. Liwicki, A. Graves, H. Bunke, and J. Schmidhuber · 2007
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