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Autoregressive sequence models achieve state-of-the-art performance in domains like machine translation.
The mathematics of statistical machine translation: Parameter estimation
Peter F Brown, Vincent J Della Pietra, Stephen A Della Pietra, and Robert L Mercer · 1993
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Maximum entropy markov models for information extraction and segmentation
Andrew McCallum, Dayne Freitag, and Fernando CN Pereira · 2000
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Conditional random fields: Probabilistic models for segmenting and labeling sequence data
John D Lafferty, Andrew McCallum, and Fernando CN Pereira · 2001
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu · 2002
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From n-gram-based to crf-based translation models
Thomas Lavergne, Josep Maria Crego, Alexandre Allauzen, and François Yvon · 2011
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Natural language processing (almost) from scratch
Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel Kuksa · 2011
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An introduction to conditional random fields
Charles Sutton, Andrew McCallum, et al · 2012
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The forward-backward algorithm
Michael Collins · 2013
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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 · 2014
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Distilling the knowledge in a neural network
Geoffrey Hinton, Oriol Vinyals, and Jeff Dean · 2015
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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
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Sequence-level knowledge distillation
Yoon Kim and Alexander M Rush · 2016
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Unsupervised neural hidden markov models
Ke Tran, Yonatan Bisk, Ashish Vaswani, Daniel Marcu, and Kevin Knight · 2016
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Classical structured prediction losses for sequence to sequence learning
Sergey Edunov, Myle Ott, Michael Auli, David Grangier, and Marc’Aurelio Ranzato · 2017
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Deterministic non-autoregressive neural sequence modeling by iterative refinement
Jason Lee, Elman Mansimov, and Kyunghyun Cho · 2018
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End-to-end non-autoregressive neural machine translation with connectionist temporal classification
Jindřich Libovickỳ and Jindřich Helcl · 2018
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Fast decoding in sequence models using discrete latent variables
Łukasz Kaiser, Aurko Roy, Ashish Vaswani, Niki Parmar, Samy Bengio, Jakob Uszkoreit, and Noam Shazeer · 2018
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Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov, and Michael Collins · 2016
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An actor-critic algorithm for sequence prediction
Dzmitry Bahdanau, Philemon Brakel, Kelvin Xu, Anirudh Goyal, Ryan Lowe, Joelle Pineau, Aaron Courville, and Yoshua Bengio · 2016
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Rethinking the inception architecture for computer vision
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, and Zbigniew Wojna · 2016
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Convolutional sequence to sequence learning
Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, and Yann N Dauphin · 2017
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Non-autoregressive neural machine translation
Jiatao Gu, James Bradbury, Caiming Xiong, Victor OK Li, and Richard Socher · 2017
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Yoon Kim, Carl Denton, Luong Hoang, and Alexander M Rush · 2017
Cited alongside, same era.
Aurko Roy, Ashish Vaswani, Arvind Neelakantan, and Niki Parmar · 2018
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A tutorial on deep latent variable models of natural language
Yoon Kim, Sam Wiseman, and Alexander M Rush · 2018
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Tensor2tensor for neural machine translation
Ashish Vaswani, Samy Bengio, Eugene Brevdo, Francois Chollet, Aidan N Gomez, Stephan Gouws, Llion Jones, Łukasz Kaiser, Nal Kalchbrenner, Niki Parmar, et al · 2018
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Non-autoregressive neural machine translation with enhanced decoder input
Junliang Guo, Xu Tan, Di He, Tao Qin, Linli Xu, and Tie-Yan Liu · 2018
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Hint-based training for non-autoregressive translation
Zhuohan Li, Zi Lin, Di He, Fei Tian, Tao Qin, Liwei Wang, and Tie-Yan Liu · 2019
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Non-autoregressive machine translation with auxiliary regularization
Yiren Wang, Fei Tian, Di He, Tao Qin, ChengXiang Zhai, and Tie-Yan Liu · 2019
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