---
title: "Michael Auli — all works — Elamur Research"
description: "All 41 works of Michael Auli in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/michael-auli/works/"
---
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# Michael Auli — all works

41 works · [← Michael Auli](https://md.research.elamur.ai/free/en/authors/michael-auli/)

1. **[fairseq: A Fast, Extensible Toolkit for Sequence Modeling](https://md.research.elamur.ai/free/en/papers/ott-2019-fairseq-fast-extensible-toolkit-sequence/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Myle Ott, Sergey Edunov, Alexei Baevski, et al.*2019 · 3,984 citations*
2. [**Convolutional Sequence to Sequence Learning arXiv:1705.03122**Jonas Gehring, Michael Auli, David Grangier, et al.*2017 · 3,042 citations*](https://md.research.elamur.ai/free/en/papers/gehring-2017-convolutional-sequence-sequence-learning/)
3. **[Understanding Back-Translation at Scale ↗](https://aclanthology.org/D18-1045/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Sergey Edunov et al.*2018 · 1,541 citations*
4. **[wav2vec: Unsupervised Pre-Training for Speech Recognition ↗](https://doi.org/10.21437/interspeech.2019-1873) Interspeech (USB) · no summary yet**Steffen Schneider et al.*2019 · 1,442 citations*
5. **[wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations](https://md.research.elamur.ai/free/en/papers/baevski-2020-wav2vec-2-0-framework-self/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Alexei Baevski, Henry Zhou, Abdelrahman Mohamed, et al.*2020 · 1,421 citations*
6. [**Sequence Level Training with Recurrent Neural Networks arXiv:1511.06732**Marc'Aurelio Ranzato, Sumit Chopra, Michael Auli, et al.*2015 · 1,370 citations*](https://md.research.elamur.ai/free/en/papers/ranzato-2015-sequence-level-training-recurrent-neural/)
7. [**Language Modeling with Gated Convolutional Networks arXiv:1612.08083**Yann N. Dauphin, Angela Fan, Michael Auli, et al.*2016 · 1,346 citations*](https://md.research.elamur.ai/free/en/papers/dauphin-2016-language-modeling-gated-convolutional-networks/)
8. **[3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training ↗](https://doi.org/10.1109/cvpr.2019.00794) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Dario Pavllo et al.*2019 · 1,315 citations*
9. **[Abstractive Sentence Summarization with Attentive Recurrent Neural Networks](https://md.research.elamur.ai/free/en/papers/chopra-2016-abstractive-sentence-summarization-attentive-recurrent/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Sumit Chopra, Michael Auli, Alexander M. Rush*2016 · 1,094 citations*
10. [**Wizard of Wikipedia: Knowledge-Powered Conversational agents arXiv:1811.01241**Emily Dinan, Stephen Roller, Kurt Shuster, et al.*2018 · 1,067 citations*](https://md.research.elamur.ai/free/en/papers/dinan-2018-wizard-wikipedia-knowledge-powered-conversational/)
11. **[Scaling Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/ott-2018-scaling-neural-machine-translation/) [Conference on Machine Translation: Research Papers](https://md.research.elamur.ai/free/en/venues/conference-on-machine-translation-research-papers/)**Myle Ott, Sergey Edunov, David Grangier, et al.*2018 · 826 citations*
12. **[Unsupervised Cross-Lingual Representation Learning for Speech Recognition ↗](https://doi.org/10.21437/interspeech.2021-329) Interspeech (USB) · no summary yet**Alexis Conneau et al.*2021 · 811 citations*
13. **[Neural Text Generation from Structured Data with Application to the Biography Domain](https://md.research.elamur.ai/free/en/papers/lebret-2016-neural-text-generation-structured-data/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Remi Lebret, David Grangier, Michael Auli*2016 · 701 citations*
14. **[ELI5: Long Form Question Answering](https://md.research.elamur.ai/free/en/papers/fan-2019-eli5-long-form-question-answering/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Angela Fan, Yacine Jernite, Ethan Perez, et al.*2019 · 695 citations*
15. **[Facebook FAIR's WMT19 News Translation Task Submission](https://md.research.elamur.ai/free/en/papers/ng-2019-facebook-fair-s-wmt19-news/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Nathan Ng, Kyra Yee, Alexei Baevski, et al.*2019 · 546 citations*
16. **[A Convolutional Encoder Model for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/gehring-2017-convolutional-encoder-model-neural-machine/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jonas Gehring, Michael Auli, David Grangier, et al.*2017 · 492 citations*
17. [**Pay Less Attention with Lightweight and Dynamic Convolutions arXiv:1901.10430**Felix Wu, Angela Fan, Alexei Baevski, et al.*2019 · 437 citations*](https://md.research.elamur.ai/free/en/papers/wu-2019-pay-less-attention-lightweight-dynamic/)
18. **[Controllable Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/fan-2018-controllable-abstractive-summarization/) [Workshop on Neural Machine Translation and Generation](https://md.research.elamur.ai/free/en/venues/workshop-on-neural-machine-translation-and-generation/)**Angela Fan, David Grangier, Michael Auli*2018 · 427 citations*
19. [**A Neural Network Approach to Context-Sensitive Generation of Conversational Responses arXiv:1506.06714**Alessandro Sordoni, Michel Galley, Michael Auli, et al.*2015 · 329 citations*](https://md.research.elamur.ai/free/en/papers/sordoni-2015-neural-network-approach-context-sensitive/)
20. [**Cloze-driven Pretraining of Self-attention Networks arXiv:1903.07785**Alexei Baevski, Sergey Edunov, Yinhan Liu, et al.*2019 · 286 citations*](https://md.research.elamur.ai/free/en/papers/baevski-2019-cloze-driven-pretraining-self-attention/)
21. **[Classical Structured Prediction Losses for Sequence to Sequence Learning](https://md.research.elamur.ai/free/en/papers/edunov-2018-classical-structured-prediction-losses-sequence/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Sergey Edunov, Myle Ott, Michael Auli, et al.*2018 · 243 citations*
22. **[Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training ↗](https://doi.org/10.21437/interspeech.2021-236) Interspeech (USB) · no summary yet**Wei-Ning Hsu et al.*2021 · 209 citations*
23. [**Analyzing Uncertainty in Neural Machine Translation arXiv:1803.00047**Myle Ott, Michael Auli, David Grangier, et al.*2018 · 195 citations*](https://md.research.elamur.ai/free/en/papers/ott-2018-analyzing-uncertainty-neural-machine-translation/)
24. [**Adaptive Input Representations for Neural Language Modeling arXiv:1809.10853**Alexei Baevski, Michael Auli*2018 · 177 citations*](https://md.research.elamur.ai/free/en/papers/baevski-2018-adaptive-input-representations-neural-language/)
25. **[Self-training Improves Pre-training for Natural Language Understanding](https://md.research.elamur.ai/free/en/papers/du-2021-self-training-improves-pre-training/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Jingfei Du, Edouard Grave, Beliz Gunel, et al.*2021 · 172 citations*
26. **[Pre-trained language model representations for language generation ↗](https://aclanthology.org/N19-1409/) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yet**Sergey Edunov, Alexei Baevski, Michael Auli*2019 · 168 citations*
27. **[Self-Training and Pre-Training are Complementary for Speech Recognition ↗](https://doi.org/10.1109/icassp39728.2021.9414641) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Qiantong Xu et al.*2021 · 159 citations*
28. **[Strategies for Training Large Vocabulary Neural Language Models ↗](https://aclanthology.org/P16-1186/) Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Wenlin Chen, David Grangier, Michael Auli*2016 · 152 citations*
29. **[On The Evaluation of Machine Translation Systems Trained With Back-Translation](https://md.research.elamur.ai/free/en/papers/edunov-2020-evaluation-machine-translation-systems-trained/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sergey Edunov, Myle Ott, Marc'Aurelio Ranzato, et al.*2020 · 140 citations*
30. **[Multilingual Speech Translation from Efficient Finetuning of Pretrained Models ↗](https://aclanthology.org/2021.acl-long.68/) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yet**Xian Li et al.*2021 · 138 citations*
31. [**deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets arXiv:1506.06863**Michel Galley, Chris Brockett, Alessandro Sordoni, et al.*2015 · 135 citations*](https://md.research.elamur.ai/free/en/papers/galley-2015-deltableu-discriminative-metric-generation-tasks/)
32. **[Simple and Effective Noisy Channel Modeling for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/yee-2019-simple-effective-noisy-channel-modeling/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kyra Yee, Yann Dauphin, Michael Auli*2019 · 104 citations*
33. **[Unified Speech-Text Pre-training for Speech Translation and Recognition ↗](https://aclanthology.org/2022.acl-long.105/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Yun Tang et al.*2022 · 103 citations*
34. **[Unsupervised Speech Recognition ↗](https://arxiv.org/abs/2105.11084) arXiv (Cornell University) · no summary yet**Alexei Baevski et al.*2021 · 62 citations*
35. **[Decoder Integration and Expected BLEU Training for Recurrent Neural Network Language Models ↗](https://aclanthology.org/P14-2023/) Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yet**Michael Auli, Jianfeng Gao*2014 · 48 citations*
36. **[Multilingual Speech Translation with Efficient Finetuning of Pretrained Models ↗](https://arxiv.org/abs/2010.12829) arXiv (Cornell University) · no summary yet**Xian Li et al.*2020 · 43 citations*
37. **[Improved Language Identification Through Cross-Lingual Self-Supervised Learning ↗](https://doi.org/10.1109/icassp43922.2022.9747667) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Andros Tjandra et al.*2022 · 41 citations*
38. **[Large-Scale Self- and Semi-Supervised Learning for Speech Translation ↗](https://doi.org/10.21437/interspeech.2021-1912) Interspeech (USB) · no summary yet**Changhan Wang et al.*2021 · 34 citations*
39. **[XTREME-S: Evaluating Cross-lingual Speech Representations ↗](https://doi.org/10.21437/interspeech.2022-10007) Interspeech (USB) · no summary yet**Alexis Conneau et al.*2022 · 28 citations*
40. **[Toward Joint Language Modeling for Speech Units and Text ↗](https://aclanthology.org/2023.findings-emnlp.438/) Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yet**Ju-Chieh Chou et al.*2023 · 23 citations*
41. **[Large-scale Expected BLEU Training of Phrase-based Reordering Models ↗](https://aclanthology.org/D14-1132/) Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Michael Auli, Michel Galley, Jianfeng Gao*2014 · 21 citations*