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        <title>Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement</title>
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        <namePart type="given">Jason</namePart>
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    <name type="personal">
        <namePart type="given">Kyunghyun</namePart>
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            <namePart type="given">David</namePart>
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    <abstract>We propose a conditional non-autoregressive neural sequence model based on iterative refinement. The proposed model is designed based on the principles of latent variable models and denoising autoencoders, and is generally applicable to any sequence generation task. We extensively evaluate the proposed model on machine translation (En-De and En-Ro) and image caption generation, and observe that it significantly speeds up decoding while maintaining the generation quality comparable to the autoregressive counterpart.</abstract>
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%0 Conference Proceedings
%T Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement
%A Lee, Jason
%A Mansimov, Elman
%A Cho, Kyunghyun
%Y Riloff, Ellen
%Y Chiang, David
%Y Hockenmaier, Julia
%Y Tsujii, Jun’ichi
%S Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
%D 2018
%8 oct nov
%I Association for Computational Linguistics
%C Brussels, Belgium
%F lee-etal-2018-deterministic
%X We propose a conditional non-autoregressive neural sequence model based on iterative refinement. The proposed model is designed based on the principles of latent variable models and denoising autoencoders, and is generally applicable to any sequence generation task. We extensively evaluate the proposed model on machine translation (En-De and En-Ro) and image caption generation, and observe that it significantly speeds up decoding while maintaining the generation quality comparable to the autoregressive counterpart.
%R 10.18653/v1/D18-1149
%U https://aclanthology.org/D18-1149/
%U https://doi.org/10.18653/v1/D18-1149
%P 1173-1182

Markdown (Informal)

[Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement](https://aclanthology.org/D18-1149/) (Lee et al., EMNLP 2018)

• Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement (Lee et al., EMNLP 2018)

ACL

• Jason Lee, Elman Mansimov, and Kyunghyun Cho. 2018. Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 1173–1182, Brussels, Belgium. Association for Computational Linguistics.