Sergey Edunov

According to our database1, Sergey Edunov authored at least 18 papers between 2015 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Large scale weakly and semi-supervised learning for low-resource video ASR.
CoRR, 2020

Dense Passage Retrieval for Open-Domain Question Answering.
CoRR, 2020

Multilingual Denoising Pre-training for Neural Machine Translation.
CoRR, 2020

Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP.
Proceedings of the 8th International Conference on Learning Representations, 2020

Training ASR Models By Generation of Contextual Information.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

On The Evaluation of Machine Translation SystemsTrained With Back-Translation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB.
CoRR, 2019

On The Evaluation of Machine Translation Systems Trained With Back-Translation.
CoRR, 2019

Facebook FAIR's WMT19 News Translation Task Submission.
Proceedings of the Fourth Conference on Machine Translation, 2019

fairseq: A Fast, Extensible Toolkit for Sequence Modeling.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Pre-trained language model representations for language generation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Cloze-driven Pretraining of Self-attention Networks.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Scaling Neural Machine Translation.
Proceedings of the Third Conference on Machine Translation: Research Papers, 2018

Classical Structured Prediction Losses for Sequence to Sequence Learning.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Generating Synthetic Social Graphs with Darwini.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Understanding Back-Translation at Scale.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2016
Darwini: Generating realistic large-scale social graphs.
CoRR, 2016

2015
One Trillion Edges: Graph Processing at Facebook-Scale.
Proc. VLDB Endow., 2015


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