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Long Short-Term Memory Recurrent Neural Networks (LSTM-RNN) are one of the most powerful dynamic classifiers publicly known.
Learning internal representations by error propagation
David E. Rumelhart, Geoffrey E. Hinton, and Ronald J. Williams · 1985
Earlier work this paper cites.
Attractor dynamics and parallelism in a connectionist sequential machine
Michael I. Jordan · 1986
Earlier work this paper cites.
Perceptrons: An introduction to computational geometry. Expanded
Marvin L. Minsky and Seymour A. Papert · 1988
Earlier work this paper cites.
A learning algorithm for continually running fully recurrent neural networks
Ronald J. Williams and David Zipser · 1989
Earlier work this paper cites.
Finding structure in time
Jeffrey L. Elman · 1990
Earlier work this paper cites.
Backpropagation through time: What it does and how to do it
Paul J. Werbos · 1990
Earlier work this paper cites.
Untersuchungen zu dynamischen neuronalen Netzen
Josef Hochreiter · 1991
Earlier work this paper cites.
Induction of Multiscale Temporal Structure
Michael C Mozer · 1992
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Learning long-term dependencies with gradient descent is difficult
Yoshua Bengio, Patrice Simard, Paolo Frasconi, and Paolo Frasconi Yoshua Bengio, Patrice Simard · 1994
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Connectionist Speech Recognition - a hybrid approach
Hervé A. Bourlard and Nelson Morgan · 1994
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Gradient-based learning algorithms for recurrent networks and their computational complexity
Ronald J. Williams and David Zipser · 1995
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Long Short-Term Memory
Sepp; Hochreiter and Jürgen Schmidhuber · 1997
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LSTM can solve hard long time lag problems
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Learning to Forget: Continual Prediction with LSTM
Felix A. Gers, Jürgen Schmidhuber, and Fred Cummins · 2000
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LSTM recurrent networks learn simple context-free and context-sensitive languages
Felix A. Gers and Jürgen Schmidhuber · 2001
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Gradient flow in recurrent nets: the difficulty of learning long-term dependencies
Sepp Hochreiter, Yoshua Bengio, Paolo Frasconi, and Jürgen Schmidhuber · 2001
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Learning to learn using gradient descent
Sepp Hochreiter, A Steven Younger, and Peter R Conwell · 2001
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Reinforcement learning with long short-term memory
Bram Bakker · 2002
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Finding temporal structure in music: Blues improvisation with LSTM recurrent networks
Douglas Eck and Jürgen Schmidhuber · 2002
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Learning precise timing with LSTM recurrent networks
Felix A. Gers, Nicol N. Schraudolph, and Jürgen Schmidhuber · 2002
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A Neural Probabilistic Language Model
Yoshua Bengio, Réjean Ducharme, Pascal Vincent, and Christian Janvin · 2003
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A comparison between spiking and differentiable recurrent neural networks on spoken digit recognition
Alex Graves, Nicole Beringer, and Jürgen Schmidhuber · 2003
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Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets
JA A Pérez-Ortiz, FA A Felix A. Gers, Douglas Eck, J??rgen U. Schmidhuber, Juan Antonio P??rez-Ortiz, FA A Felix A. Gers, Douglas Eck, and J??rgen U. Schmidhuber · 2003
Earlier work this paper cites.
Capturing Long-Term Dependencies for Protein Secondary Structure Prediction
Jinmiao Chen and Narendra S. Chaudhari · 2004
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Classifying unprompted speech by retraining LSTM Nets
N Beringer, A Graves, F Schiel, and J Schmidhuber · 2005
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Rapid retraining on speech data with LSTM recurrent networks
Alex Graves, Nicole Beringer, and Jürgen Schmidhuber · 2005
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Framewise phoneme classification with bidirectional LSTM networks
Alex Graves and Jürgen Schmidhuber · 2005
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Connectionist temporal classification: Labelling unsegmented sequence data with recurrent neural networks
Alex Graves, Santiago Fernández, Faustino Gomez, and Jürgen Schmidhuber · 2006
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Making working memory work: a computational model of learning in the prefrontal cortex and basal ganglia
Randall C O’Reilly and Michael J Frank · 2006
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Sequence labelling in structured domains with hierarchical recurrent neural networks
Santiago Fernandez, Alex Graves, and Jürgen Schmidhuber · 2007
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Unconstrained online handwriting recognition with recurrent neural networks
Alex Graves, S Fernández, and Marcus Liwicki · 2007
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Multi-Dimensional Recurrent Neural Networks
Alex Graves, Santiago Fernandez, and Jürgen Schmidhuber · 2007
Cited alongside, same era.
Fast model-based protein homology detection without alignment
Learning phrase representations using RNN encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, Yoshua Bengio, Bart van Merrienboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio · 2014
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End-to-end continuous speech recognition using attention-based recurrent NN: first results
Jan Chorowski, Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2014
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Empirical evaluation of gated recurrent neural networks on sequence modeling
Junyoung Chung, Caglar Gulcehre, Kyunghyun Cho, and Yoshua Bengio · 2014
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Robust speech recognition using long short-term memory recurrent neural networks for hybrid acoustic modelling
T Geiger, Zixing Zhang, Felix Weninger, Gerhard Rigoll, Jürgen T Geiger, Zixing Zhang, Felix Weninger, Björn Schuller, and Gerhard Rigoll · 2014
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Generating sequences with recurrent neural networks
Alex Graves · 2014
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Sepp Hochreiter, Martin Heusel, and Klaus Obermayer · 2007
Cited alongside, same era.
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
Cited alongside, same era.
Phoneme recognition in TIMIT with BLSTM-CTC
Santiago Fernández, Alex Graves, and Jürgen Schmidhuber · 2008
Cited alongside, same era.
Abandoning emotion classes - Towards continuous emotion recognition with modelling of long-range dependencies
Martin Wöllmer, Florian Eyben, Stephan Reiter, Björn Schuller, Cate Cox, Ellen Douglas-Cowie, and Roddy Cowie · 2008
Cited alongside, same era.
Evolving memory cell structures for sequence learning
Justin Bayer, Daan Wierstra, Julian Togelius, and Jürgen Schmidhuber · 2009
Cited alongside, same era.
From speech to letters - using a novel neural network architecture for grapheme based ASR
Florian Eyben, Martin Wollmer, Bjorn Schuller, and Alex Graves · 2009
Cited alongside, same era.
A novel connectionist system for unconstrained handwriting recognition
Alex Graves, Marcus Liwicki, Santiago Fernández, Roman Bertolami, Horst Bunke, and Jürgen Schmidhuber · 2009
Cited alongside, same era.
Towards End-To-End Speech Recognition with Recurrent Neural Networks
Alex Graves and Navdeep Jaitly · 2014
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Neural Turing Machines
Alex Graves, Greg Wayne, and Ivo Danihelka · 2014
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A Clockwork RNN
Jan Koutnik, Klaus Greff, Faustino Gomez, and Jürgen Schmidhuber · 2014
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Addressing the rare word problem in neural machine translation
Minh-Thang Luong, Ilya Sutskever, Quoc V. Le, Oriol Vinyals, and Wojciech Zaremba · 2014
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Revisit long short-term memory: an optimization perspective
Qi Lyu and Jun Zhu · 2014
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Long short-term memory based recurrent neural network architectures for large scale acoustic modeling
Haşim Sak, Andrew Senior, and Françoise Beaufays · 2014
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Sequence to Sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le · 2014
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Grammar as a foreign language
Oriol Vinyals, Lukasz Kaiser, Terry Koo, Slav Petrov, Ilya Sutskever, and Geoffrey Hinton · 2014
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Learning to Execute
Wojciech Zaremba and Ilya Sutskever · 2014
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Recurrent Neural Network Regularization
Wojciech Zaremba, Ilya Sutskever, and Oriol Vinyals · 2014
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2015
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Listen, Attend and Spell
William Chan, Navdeep Jaitly, Quoc V. Le, and Oriol Vinyals · 2015
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Attention-based models for speech recognition
Jan K Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk, Kyunghyun Cho, and Yoshua Bengio · 2015
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Long-Term Recurrent Convolutional Networks for Visual Recognition and Description
Jeffrey Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Kate Saenko, Trevor Darrell, U T Austin, Umass Lowell, U C Berkeley, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Kate Saenko, and Trevor Darrell · 2015
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An empirical exploration of Recurrent Network Architectures
Rafal Jozefowicz, Wojciech Zaremba, and Ilya Sutskever · 2015
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Applying long short-term memory recurrent neural networks to intrusion detection
Ralf C. Staudemeyer · 2015
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Pointer Networks
Oriol Vinyals, Meire Fortunato, and Navdeep Jaitly · 2015
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A neural conversational model
Oriol Vinyals and Quoc V. Le · 2015
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Show and Tell: A Neural Image Caption Generator
Oriol Vinyals, Alexander Toshev, Samy Bengio, and Dumitru Erhan · 2015
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Show, Attend and Tell: Neural image caption generation with visual attention
Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhutdinov, Richard Zemel, and Yoshua Bengio · 2015
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Grid Long Short-Term Memory
Nal Kalchbrenner, Ivo Danihelka, and Alex Graves · 2016
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Order Matters: Sequence to Sequence for sets
Oriol Vinyals, Samy Bengio, and Manjunath Kudlur · 2016
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