Fetching the paper…
Reading the bibliography…
Recurrent sequence generators conditioned on input data through an attention mechanism have recently shown very good performance on a range of tasks in- cluding machine translation, handwriting synthesis and image caption gen- eration.
DARPA TIMIT acoustic phonetic continuous speech corpus, 1993
J. S. Garofolo, L. F. Lamel, W. M. Fisher, J. G. Fiscus, D. S. Pallett, and N. L. Dahlgren · 1993
Earlier work this paper cites.
Long short-term memory
S. Hochreiter and J. Schmidhuber · 1997
Earlier work this paper cites.
Gradient based learning applied to document recognition
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner · 1998
Earlier work this paper cites.
Connectionist temporal classification: Labelling unsegmented sequence data with recurrent neural networks
Alex Graves, Santiago Fernández, Faustino Gomez, and Jürgen Schmidhuber · 2006
Earlier work this paper cites.
The application of hidden markov models in speech recognition
Mark Gales and Steve Young · 2007
Earlier work this paper cites.
Theano: a CPU and GPU math expression compiler
James Bergstra, Olivier Breuleux, Frédéric Bastien, Pascal Lamblin, Razvan Pascanu, Guillaume Desjardins, Joseph Turian, David Warde-Farley, and Yoshua Bengio · 2010
Earlier work this paper cites.
The kaldi speech recognition toolkit
Daniel Povey, Arnab Ghoshal, Gilles Boulianne, Lukas Burget, Ondrej Glembek, Nagendra Goel, Mirko Hannemann, Petr Motlicek, Yanmin Qian, Petr Schwarz, and others · 2011
Earlier work this paper cites.
Practical variational inference for neural networks
Alex Graves · 2011
Earlier work this paper cites.
Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups
G. Hinton, Li Deng, Dong Yu, G.E. Dahl, A Mohamed, N. Jaitly, A Senior, V. Vanhoucke, P. Nguyen, T.N. Sainath, and B. Kingsbury · 2012
Earlier work this paper cites.
Sequence transduction with recurrent neural networks
Alex Graves · 2012
Earlier work this paper cites.
ADADELTA: An adaptive learning rate method
Matthew D Zeiler · 2012
Cited alongside, same era.
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, and Ruslan R Salakhutdinov · 2012
Cited alongside, same era.
Theano: new features and speed improvements
Frédéric Bastien, Pascal Lamblin, Razvan Pascanu, James Bergstra, Ian J. Goodfellow, Arnaud Bergeron, Nicolas Bouchard, and Yoshua Bengio · 2012
Cited alongside, same era.
Generating sequences with recurrent neural networks
Alex Graves · 2013
Cited alongside, same era.
Speech recognition with deep recurrent neural networks
Alex Graves, Abdel-rahman Mohamed, and Geoffrey Hinton · 2013
Cited alongside, same era.
Memory networks
Jason Weston, Sumit Chopra, and Antoine Bordes · 2014
Later among the works it cites.
Deepspeech: Scaling up end-to-end speech recognition
Awni Hannun, Carl Case, Jared Casper, Bryan Catanzaro, Greg Diamos, Erich Elsen, Ryan Prenger, Sanjeev Satheesh, Shubho Sengupta, Adam Coates, et al · 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.
Towards end-to-end speech recognition with recurrent neural networks
Alex Graves and Navdeep Jaitly · 2014
Later among the works it cites.
Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V. Le · 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…
Ian J. Goodfellow, David Warde-Farley, Pascal Lamblin, Vincent Dumoulin, Mehdi Mirza, Razvan Pascanu, James Bergstra, Frédéric Bastien, and Yoshua Bengio · 2013
Cited alongside, same era.
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2014
Cited alongside, same era.
Recurrent models of visual attention
Volodymyr Mnih, Nicolas Heess, Alex Graves, et al · 2014
Cited alongside, same era.
End-to-end continuous speech recognition using attention-based recurrent NN: First results
Jan Chorowski, Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2014
Cited alongside, same era.
Neural turing machines
Alex Graves, Greg Wayne, and Ivo Danihelka · 2014
Cited alongside, same era.
Combining time-and frequency-domain convolution in convolutional neural network-based phone recognition
László Tóth · 2014
Later among the works it cites.
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
Closest in time.
Weakly supervised memory networks
Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston, and Rob Fergus · 2015
Closest in time.
On using monolingual corpora in neural machine translation
Caglar Gulcehre, Orhan Firat, Kelvin Xu, Kyunghyun Cho, Loic Barrault, Huei-Chi Lin, Fethi Bougares, Holger Schwenk, and Yoshua Bengio · 2015
Closest in time.
Blocks and fuel: Frameworks for deep learning
Bart van Merriënboer, Dzmitry Bahdanau, Vincent Dumoulin, Dmitriy Serdyuk, David Warde-Farley, Jan Chorowski, and Yoshua Bengio · 2015
Closest in time.