Fetching the paper…
Reading the bibliography…
Several variants of the Long Short-Term Memory (LSTM) architecture for recurrent neural networks have been proposed since its inception in 1995.
Recent Advances in Finding Best Operating Conditions
R. L. Anderson · 1953
Earlier work this paper cites.
Distance measures for speech recognition: Psychological and instrumental
P. Mermelstein · 1976
Earlier work this paper cites.
Minimization by Random Search Techniques
Francisco J. Solis and Roger J.-B. Wets · 1981
Earlier work this paper cites.
The utility driven dynamic error propagation network
AJ Robinson and Frank Fallside · 1987
Earlier work this paper cites.
Generalization of backpropagation with application to a recurrent gas market model
P. J. Werbos · 1988
Earlier work this paper cites.
Complexity of exact gradient computation algorithms for recurrent neural networks
R. J. Williams · 1989
Earlier work this paper cites.
Untersuchungen zu dynamischen neuronalen Netzen
Sepp Hochreiter · 1991
Earlier work this paper cites.
DARPA TIMIT Acoustic-Phonetic Continuous Speech Corpus CD-ROM
JS Garofolo, LF Lamel, WM Fisher, JG Fiscus, DS Pallett, and NL Dahlgren · 1993
Earlier work this paper cites.
Long Short Term Memory
Sepp Hochreiter and Jürgen Schmidhuber · 1995
Earlier work this paper cites.
Long Short-Term Memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
Earlier work this paper cites.
Heterogeneous acoustic measurements and multiple classifiers for speech recognition
Andrew K. Halberstadt · 1998
Earlier work this paper cites.
Learning to forget: Continual prediction with LSTM
Felix A. Gers, Jürgen Schmidhuber, and Fred Cummins · 1999
Earlier work this paper cites.
Recurrent nets that time and count
Felix A. Gers and Jürgen Schmidhuber · 2000
Earlier work this paper cites.
Gradient flow in recurrent nets: the difficulty of learning long-term dependencies
S. Hochreiter, Y. Bengio, P. Frasconi, and J. Schmidhuber · 2001
Earlier work this paper cites.
DEFK-LSTM
Felix A. Gers, Juan Antonio Pérez-Ortiz, Douglas Eck, and Jürgen Schmidhuber · 2002
Earlier work this paper cites.
Framewise phoneme classification with bidirectional LSTM and other neural network architectures
Alex Graves and Jürgen Schmidhuber · 2005
Earlier work this paper cites.
IAM-OnDB-an on-line English sentence database acquired from handwritten text on a whiteboard
Marcus Liwicki and Horst Bunke · 2005
Cited alongside, same era.
Harmonising chorales by probabilistic inference
Moray Allan and Christopher KI Williams · 2005
Cited alongside, same era.
Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
Alex Graves, Santiago Fernández, Faustino Gomez, and Jürgen Schmidhuber · 2006
Cited alongside, same era.
Training Recurrent Networks by EVOLINO
J Schmidhuber, D Wierstra, M Gagliolo, and F J Gomez · 2007
Cited alongside, same era.
Generalized Functional ANOVA Diagnostics for High-Dimensional Functions of Dependent Variables
Giles Hooker · 2007
Cited alongside, same era.
Supervised Sequence Labelling with Recurrent Neural Networks
Alexander Graves · 2008
Generating sequences with recurrent neural networks
Alex Graves · 2013
Later among the works it cites.
On the importance of initialization and momentum in deep learning
Ilya Sutskever, James Martens, George Dahl, and Geoffrey Hinton · 2013
Later among the works it cites.
Fast and robust training of recurrent neural networks for offline handwriting recognition
Patrick Doetsch, Michal Kozielski, and Hermann Ney · 2014
Later among the works it cites.
Recurrent Neural Network Regularization
Wojciech Zaremba, Ilya Sutskever, and Oriol Vinyals · 2014
Later among the works it cites.
Addressing the Rare Word Problem in Neural Machine Translation
Thang Luong, Ilya Sutskever, Quoc V. Le, Oriol Vinyals, and Wojciech Zaremba · 2014
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Unconstrained on-line handwriting recognition with recurrent neural networks
Alex Graves, Marcus Liwicki, Horst Bunke, Jürgen Schmidhuber, and Santiago Fernández · 2008
Cited alongside, same era.
A Novel Connectionist System for Improved Unconstrained Handwriting Recognition
A Graves, M Liwicki, S Fernandez, R Bertolami, H Bunke, and J Schmidhuber · 2009
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.
Dictionary of linguistics and phonetics , volume 30
David Crystal · 2011
Cited alongside, same era.
Sequential Model-Based Optimization for General Algorithm Configuration
F. Hutter, H. H. Hoos, and K. Leyton-Brown · 2011
Cited alongside, same era.
Random search for hyper-parameter optimization
James Bergstra and Yoshua Bengio · 2012
Cited alongside, same era.
Long short-term memory recurrent neural network architectures for large scale acoustic modeling
Hasim Sak, Andrew Senior, and Françoise Beaufays · 2014
Later among the works it cites.
TTS synthesis with bidirectional LSTM based recurrent neural networks
Yuchen Fan, Yao Qian, Fenglong Xie, and Frank K. Soong · 2014
Later among the works it cites.
Protein Secondary Structure Prediction with Long Short Term Memory Networks
Søren Kaae Sønderby and Ole Winther · 2014
Later among the works it cites.
Multi-resolution linear prediction based features for audio onset detection with bidirectional LSTM neural networks
E. Marchi, G. Ferroni, F. Eyben, L. Gabrielli, S. Squartini, and B. Schuller · 2014
Later among the works it cites.
Long-term Recurrent Convolutional Networks for Visual Recognition and Description
Jeff Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Kate Saenko, and Trevor Darrell · 2014
Later among the works it cites.
An Efficient Approach for Assessing Hyperparameter Importance
Frank Hutter, Holger Hoos, and Kevin Leyton-Brown · 2014
Later among the works it cites.
Dynamic Cortex Memory: Enhancing Recurrent Neural Networks for Gradient-Based Sequence Learning
Sebastian Otte, Marcus Liwicki, and Andreas Zell · 2014
Later among the works it cites.
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho, Bart van Merrienboer, Caglar Gulcehre, Fethi Bougares, Holger Schwenk, and Yoshua Bengio · 2014
Later among the works it cites.
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio · 2014
Later among the works it cites.
An empirical exploration of recurrent network architectures
Rafal Jozefowicz, Wojciech Zaremba, and Ilya Sutskever · 2015
Closest in time.