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Non-autoregressive translation (NAT) achieves faster inference speed but at the cost of worse accuracy compared with autoregressive translation (AT).
Multitask learning
Rich Caruana · 1997
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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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Curriculum learning
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Learning the easy things first: Self-paced visual category discovery
Yong Jae Lee and Kristen Grauman · 2011
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Sequence to sequence learning with neural networks
I Sutskever, O Vinyals, and QV Le · 2014
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2015
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Multi-task learning for multiple language translation
Daxiang Dong, Hua Wu, Wei He, Dianhai Yu, and Haifeng Wang · 2015
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Sequence-level knowledge distillation
Yoon Kim and Alexander M. Rush · 2016
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Easy questions first? a case study on curriculum learning for question answering
Mrinmaya Sachan and Eric Xing · 2016
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Neural machine translation of rare words with subword units
Rico Sennrich, Barry Haddow, and Alexandra Birch · 2016
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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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Curriculum learning for multi-task classification of visual attributes
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
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Tied multitask learning for neural speech translation
Antonios Anastasopoulos and David Chiang · 2018
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Non-autoregressive neural machine translation
Jiatao Gu, James Bradbury, Caiming Xiong, Victor O.K. Li, and Richard Socher · 2018
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Deterministic non-autoregressive neural sequence modeling by iterative refinement
Jason Lee, Elman Mansimov, and Kyunghyun Cho · 2018
Mask-predict: Parallel decoding of conditional masked language models
Marjan Ghazvininejad, Omer Levy, Yinhan Liu, and Luke Zettlemoyer · 2019
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Levenshtein transformer
Jiatao Gu, Changhan Wang, and Junbo Zhao · 2019
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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 · 2019
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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 · 2019
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Hint-based training for non-autoregressive machine translation
Zhuohan Li, Zi Lin, Di He, Fei Tian, QIN Tao, WANG Liwei, and Tie-Yan Liu · 2019
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Tensor2tensor for neural machine translation
Ashish Vaswani, Samy Bengio, Eugene Brevdo, Francois Chollet, Aidan Gomez, Stephan Gouws, Llion Jones, Łukasz Kaiser, Nal Kalchbrenner, Niki Parmar, et al · 2018
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Semi-autoregressive neural machine translation
Chunqi Wang, Ji Zhang, and Haiqing Chen · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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Jointly learning to align and translate with transformer models
Sarthak Garg, Stephan Peitz, Udhyakumar Nallasamy, and Matthias Paulik · 2019
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Xuezhe Ma, Chunting Zhou, Xian Li, Graham Neubig, and Eduard Hovy · 2019
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Fastspeech: Fast, robust and controllable text to speech
Yi Ren, Yangjun Ruan, Xu Tan, Tao Qin, Sheng Zhao, Zhou Zhao, and Tie-Yan Liu · 2019
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Mass: Masked sequence to sequence pre-training for language generation
Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, 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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