Fetching the paper…
Reading the bibliography…
Recently, encoder-decoder neural networks have shown impressive performance on many sequence-related tasks.
Some experiments on the recognition of speech, with one and with two ears
E Colin Cherry. 1953 · 1953
Earlier work this paper cites.
Darpa TIMIT acoustic-phonetic continous speech corpus cd-rom. NIST speech disc 1-1.1
John S Garofolo, Lori F Lamel, William M Fisher, Jonathon G Fiscus, and David S Pallett. 1993 · 1993
Earlier work this paper cites.
The dynamic representation of scenes
Ronald A Rensink. 2000 · 2000
Earlier work this paper cites.
Creating corpora for speech-to-speech translation
Genichiro Kikui, Eiichiro Sumita, Toshiyuki Takezawa, and Seiichi Yamamoto. 2003 · 2003
Earlier work this paper cites.
Moses: Open source toolkit for statistical machine translation
Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, et al. 2007 · 2007
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, Jan Silovsky, Georg Stemmer, and Karel Vesely. 2011 · 2011
Earlier work this paper cites.
Supervised sequence labelling
Alex Graves. 2012 · 2012
Earlier work this paper cites.
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
Earlier work this paper cites.
End-to-end continuous speech recognition using attention-based recurrent NN: First results
Jan Chorowski, Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba. 2014 · 2014
Cited alongside, same era.
Sequence-to-Sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le. 2014 · 2014
Cited alongside, same era.
Deep visual-semantic alignments for generating image descriptions
Andrej Karpathy and Li Fei-Fei. 2015 · 2015
Cited alongside, same era.
Effective approaches to attention-based neural machine translation
Minh-Thang Luong, Hieu Pham, and Christopher D Manning. 2015 · 2015
Cited alongside, same era.
Listen, attend and spell: A neural network for large vocabulary conversational speech recognition
William Chan, Navdeep Jaitly, Quoc Le, and Oriol Vinyals. 2016 · 2016
Later among the works it cites.
Learning online alignments with continuous rewards policy gradient
Yuping Luo, Chung-Cheng Chiu, Navdeep Jaitly, and Ilya Sutskever. 2016 · 2016
Later among the works it cites.
Google’s neural machine translation system: Bridging the gap between human and machine translation
Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, et al. 2016 · 2016
Later among the works it cites.
Joint ctc-attention based end-to-end speech recognition using multi-task learning
Suyoun Kim, Takaaki Hori, and Shinji Watanabe. 2017 · 2017
Closest in time.
Regularizing neural networks by penalizing confident output distributions
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Chainer: a next-generation open source framework for deep learning
Seiya Tokui, Kenta Oono, Shohei Hido, and Justin Clayton. 2015 · 2015
Cited alongside, same era.
Sequence-to-sequence neural net models for grapheme-to-phoneme conversion
Kaisheng Yao and Geoffrey Zweig. 2015 · 2015
Cited alongside, same era.
End-to-end attention-based large vocabulary speech recognition
Dzmitry Bahdanau, Jan Chorowski, Dmitriy Serdyuk, Philemon Brakel, and Yoshua Bengio. 2016 · 2016
Cited alongside, same era.
On the properties of neural machine translation: Encoder–decoder approaches
Kyunghyun Cho, Bart van Merriënboer, Dzmitry Bahdanau, and Yoshua Bengio. 2014a
Cited in the paper.
Learning phrase representations using RNN encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014b
Cited in the paper.
Gabriel Pereyra, George Tucker, Jan Chorowski, Łukasz Kaiser, and Geoffrey Hinton. 2017 · 2017
Closest in time.
Online and linear-time attention by enforcing monotonic alignments
Colin Raffel, Thang Luong, Peter J Liu, Ron J Weiss, and Douglas Eck. 2017 · 2017
Closest in time.
Show, attend and tell: Neural image caption generation with visual attention
Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron C. Courville, Ruslan Salakhutdinov, Richard S. Zemel, and Yoshua Bengio. 2015 · 2057
Closest in time.