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Recent work on non-autoregressive neural machine translation (NAT) aims at improving the efficiency by parallel decoding without sacrificing the quality.
Non-autoregressive transformer by position learning
Yu Bao, Hao Zhou, Jiangtao Feng, Mingxuan Wang, Shujian Huang, Jiajun Chen, and Lei Li. 2019 · 1911
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Fine-tuning by curriculum learning for non-autoregressive neural machine translation
Junliang Guo, Xu Tan, Linli Xu, Tao Qin, Enhong Chen, and Tie-Yan Liu. 2019b · 1911
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Guiding non-autoregressive neural machine translation decoding with reordering information
Qiu Ran, Yankai Lin, Peng Li, and Jie Zhou. 2019 · 1911
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Error detecting and error correcting codes
Richard W Hamming. 1950 · 1950
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Binary codes capable of correcting deletions, insertions, and reversals
Vladimir I Levenshtein. 1966 · 1966
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Semi-autoregressive training improves mask-predict decoding
Marjan Ghazvininejad, Omer Levy, and Luke Zettlemoyer. 2020b · 2001
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Aligned cross entropy for non-autoregressive machine translation
Marjan Ghazvininejad, Vladimir Karpukhin, Luke Zettlemoyer, and Omer Levy. 2020a · 2004
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Non-autoregressive machine translation with latent alignments
Chitwan Saharia, William Chan, Saurabh Saxena, and Mohammad Norouzi. 2020 · 2004
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Cascaded text generation with markov transformers
Yuntian Deng and Alexander M Rush. 2020 · 2006
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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 · 2006
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Curriculum learning
Yoshua Bengio, Jérôme Louradour, Ronan Collobert, and Jason Weston. 2009 · 2009
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
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Neural machine translation of rare words with subword units
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 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 · 2017
Cited alongside, same era.
Non-autoregressive neural machine translation
Jiatao Gu, James Bradbury, Caiming Xiong, Victor O.K. Li, and Richard Socher. 2018 · 2018
Cited alongside, same era.
Deterministic non-autoregressive neural sequence modeling by iterative refinement
Jason Lee, Elman Mansimov, and Kyunghyun Cho. 2018 · 2018
FlowSeq: Non-autoregressive conditional sequence generation with generative flow
Xuezhe Ma, Chunting Zhou, Xian Li, Graham Neubig, and Eduard Hovy. 2019 · 2019
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Fast structured decoding for sequence models
Zhiqing Sun, Zhuohan Li, Haoqing Wang, Di He, Zi Lin, and Zhihong Deng. 2019 · 2019
Later among the works it cites.
Non-autoregressive machine translation with auxiliary regularization
Yiren Wang, Fei Tian, Di He, Tao Qin, ChengXiang Zhai, and Tie-Yan Liu. 2019 · 2019
Later among the works it cites.
Imitation learning for non-autoregressive neural machine translation
Bingzhen Wei, Mingxuan Wang, Hao Zhou, Junyang Lin, and Xu Sun. 2019 · 2019
Later among the works it cites.
Jointly masked sequence-to-sequence model for non-autoregressive neural machine translation
Junliang Guo, Linli Xu, and Enhong Chen. 2020 · 2020
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Non-autoregressive machine translation with disentangled context transformer
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Cited alongside, same era.
End-to-end non-autoregressive neural machine translation with connectionist temporal classification
Jindřich Libovickỳ and Jindřich Helcl. 2018 · 2018
Cited alongside, same era.
Mask-predict: Parallel decoding of conditional masked language models
Marjan Ghazvininejad, Omer Levy, Yinhan Liu, and Luke Zettlemoyer. 2019 · 2019
Cited alongside, same era.
Levenshtein transformer
Jiatao Gu, Changhan Wang, and Junbo Zhao. 2019 · 2019
Cited alongside, same era.
Hint-based training for non-autoregressive translation
Zhuohan Li, Di He, Fei Tian, Tao Qin, Liwei Wang, and Tie-Yan Liu. 2019 · 2019
Cited alongside, same era.
Non-autoregressive neural machine translation with enhanced decoder input
Junliang Guo, Xu Tan, Di He, Tao Qin, Linli Xu, and Tie-Yan Liu. 2019a
Cited in the paper.
Jungo Kasai, James Cross, Marjan Ghazvininejad, and Jiatao Gu. 2020 · 2020
Closest in time.
Minimizing the bag-of-ngrams difference for non-autoregressive neural machine translation
Chenze Shao, Jinchao Zhang, Yang Feng, Fandong Meng, and Jie Zhou. 2020 · 2020
Closest in time.
Latent-variable non-autoregressive neural machine translation with deterministic inference using a delta posterior
Raphael Shu, Jason Lee, Hideki Nakayama, and Kyunghyun Cho. 2020 · 2020
Closest in time.
An em approach to non-autoregressive conditional sequence generation
Zhiqing Sun and Yiming Yang. 2020 · 2020
Closest in time.