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2020 – today
- 2021
[j3]Angela Fan, Shruti Bhosale, Holger Schwenk, Zhiyi Ma, Ahmed El-Kishky, Siddharth Goyal, Mandeep Baines, Onur Celebi, Guillaume Wenzek, Vishrav Chaudhary, Naman Goyal, Tom Birch, Vitaliy Liptchinsky, Sergey Edunov, Michael Auli, Armand Joulin:
Beyond English-Centric Multilingual Machine Translation. J. Mach. Learn. Res. 22: 107:1-107:48 (2021)- [c16]Holger Schwenk, Guillaume Wenzek, Sergey Edunov, Edouard Grave, Armand Joulin, Angela Fan:
CCMatrix: Mining Billions of High-Quality Parallel Sentences on the Web. ACL/IJCNLP (1) 2021: 6490-6500 - [c15]Chau Tran, Shruti Bhosale, James Cross, Philipp Koehn, Sergey Edunov, Angela Fan:
Facebook AI's WMT21 News Translation Task Submission. WMT@EMNLP 2021: 205-215 - [i19]Zhiyi Ma, Sergey Edunov, Michael Auli:
A Comparison of Approaches to Document-level Machine Translation. CoRR abs/2101.11040 (2021) - [i18]Chau Tran, Shruti Bhosale, James Cross, Philipp Koehn, Sergey Edunov, Angela Fan:
Facebook AI WMT21 News Translation Task Submission. CoRR abs/2108.03265 (2021) - 2020
- [j2]Yinhan Liu, Jiatao Gu, Naman Goyal, Xian Li, Sergey Edunov, Marjan Ghazvininejad, Mike Lewis, Luke Zettlemoyer:
Multilingual Denoising Pre-training for Neural Machine Translation. Trans. Assoc. Comput. Linguistics 8: 726-742 (2020) - [c14]Sergey Edunov, Myle Ott, Marc'Aurelio Ranzato, Michael Auli:
On The Evaluation of Machine Translation SystemsTrained With Back-Translation. ACL 2020: 2836-2846 - [c13]Vladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick S. H. Lewis
, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih:
Dense Passage Retrieval for Open-Domain Question Answering. EMNLP (1) 2020: 6769-6781 - [c12]Kritika Singh, Dmytro Okhonko, Jun Liu, Yongqiang Wang, Frank Zhang, Ross B. Girshick, Sergey Edunov, Fuchun Peng, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed:
Training ASR Models By Generation of Contextual Information. ICASSP 2020: 7864-7868 - [c11]Haonan Yu, Sergey Edunov, Yuandong Tian, Ari S. Morcos:
Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP. ICLR 2020 - [c10]Kritika Singh, Vimal Manohar, Alex Xiao, Sergey Edunov, Ross B. Girshick, Vitaliy Liptchinsky, Christian Fuegen, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed:
Large Scale Weakly and Semi-Supervised Learning for Low-Resource Video ASR. INTERSPEECH 2020: 3770-3774 - [c9]Shruti Bhosale, Kyra Yee, Sergey Edunov, Michael Auli:
Language Models not just for Pre-training: Fast Online Neural Noisy Channel Modeling. WMT@EMNLP 2020: 584-593 - [i17]Yinhan Liu, Jiatao Gu, Naman Goyal, Xian Li, Sergey Edunov, Marjan Ghazvininejad, Mike Lewis, Luke Zettlemoyer:
Multilingual Denoising Pre-training for Neural Machine Translation. CoRR abs/2001.08210 (2020) - [i16]Vladimir Karpukhin, Barlas Oguz, Sewon Min, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih:
Dense Passage Retrieval for Open-Domain Question Answering. CoRR abs/2004.04906 (2020) - [i15]Kritika Singh, Vimal Manohar, Alex Xiao, Sergey Edunov, Ross B. Girshick, Vitaliy Liptchinsky, Christian Fuegen, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed:
Large scale weakly and semi-supervised learning for low-resource video ASR. CoRR abs/2005.07850 (2020) - [i14]Angela Fan, Shruti Bhosale, Holger Schwenk, Zhiyi Ma, Ahmed El-Kishky, Siddharth Goyal, Mandeep Baines, Onur Celebi, Guillaume Wenzek, Vishrav Chaudhary, Naman Goyal, Tom Birch, Vitaliy Liptchinsky, Sergey Edunov, Edouard Grave, Michael Auli, Armand Joulin:
Beyond English-Centric Multilingual Machine Translation. CoRR abs/2010.11125 (2020) - [i13]Shruti Bhosale, Kyra Yee, Sergey Edunov, Michael Auli:
Language Models not just for Pre-training: Fast Online Neural Noisy Channel Modeling. CoRR abs/2011.07164 (2020)
2010 – 2019
- 2019
- [c8]Alexei Baevski, Sergey Edunov, Yinhan Liu, Luke Zettlemoyer, Michael Auli:
Cloze-driven Pretraining of Self-attention Networks. EMNLP/IJCNLP (1) 2019: 5359-5368 - [c7]Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, Michael Auli:
fairseq: A Fast, Extensible Toolkit for Sequence Modeling. NAACL-HLT (Demonstrations) 2019: 48-53 - [c6]Sergey Edunov, Alexei Baevski, Michael Auli:
Pre-trained language model representations for language generation. NAACL-HLT (1) 2019: 4052-4059 - [c5]Nathan Ng, Kyra Yee, Alexei Baevski, Myle Ott, Michael Auli, Sergey Edunov:
Facebook FAIR's WMT19 News Translation Task Submission. WMT (2) 2019: 314-319 - [i12]Alexei Baevski, Sergey Edunov, Yinhan Liu, Luke Zettlemoyer, Michael Auli:
Cloze-driven Pretraining of Self-attention Networks. CoRR abs/1903.07785 (2019) - [i11]Sergey Edunov, Alexei Baevski, Michael Auli:
Pre-trained Language Model Representations for Language Generation. CoRR abs/1903.09722 (2019) - [i10]Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, Michael Auli:
fairseq: A Fast, Extensible Toolkit for Sequence Modeling. CoRR abs/1904.01038 (2019) - [i9]Haonan Yu, Sergey Edunov, Yuandong Tian, Ari S. Morcos:
Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP. CoRR abs/1906.02768 (2019) - [i8]Nathan Ng, Kyra Yee, Alexei Baevski, Myle Ott, Michael Auli, Sergey Edunov:
Facebook FAIR's WMT19 News Translation Task Submission. CoRR abs/1907.06616 (2019) - [i7]Sergey Edunov, Myle Ott, Marc'Aurelio Ranzato, Michael Auli:
On The Evaluation of Machine Translation Systems Trained With Back-Translation. CoRR abs/1908.05204 (2019) - [i6]Kritika Singh, Dmytro Okhonko, Jun Liu, Yongqiang Wang, Frank Zhang, Ross B. Girshick, Sergey Edunov, Fuchun Peng, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed:
Training ASR models by Generation of Contextual Information. CoRR abs/1910.12367 (2019) - [i5]Holger Schwenk, Guillaume Wenzek, Sergey Edunov, Edouard Grave, Armand Joulin:
CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB. CoRR abs/1911.04944 (2019) - 2018
- [c4]Sergey Edunov, Myle Ott, Michael Auli, David Grangier:
Understanding Back-Translation at Scale. EMNLP 2018: 489-500 - [c3]Sergey Edunov, Dionysios Logothetis, Cheng Wang, Avery Ching, Maja Kabiljo:
Generating Synthetic Social Graphs with Darwini. ICDCS 2018: 567-577 - [c2]Sergey Edunov, Myle Ott, Michael Auli, David Grangier, Marc'Aurelio Ranzato:
Classical Structured Prediction Losses for Sequence to Sequence Learning. NAACL-HLT 2018: 355-364 - [c1]Myle Ott, Sergey Edunov, David Grangier, Michael Auli:
Scaling Neural Machine Translation. WMT 2018: 1-9 - [i4]Myle Ott, Sergey Edunov, David Grangier, Michael Auli:
Scaling Neural Machine Translation. CoRR abs/1806.00187 (2018) - [i3]Sergey Edunov, Myle Ott, Michael Auli, David Grangier:
Understanding Back-Translation at Scale. CoRR abs/1808.09381 (2018) - 2017
- [i2]Sergey Edunov, Myle Ott, Michael Auli, David Grangier, Marc'Aurelio Ranzato:
Classical Structured Prediction Losses for Sequence to Sequence Learning. CoRR abs/1711.04956 (2017) - 2016
- [i1]Sergey Edunov, Dionysios Logothetis, Cheng Wang, Avery Ching, Maja Kabiljo:
Darwini: Generating realistic large-scale social graphs. CoRR abs/1610.00664 (2016) - 2015
- [j1]Avery Ching, Sergey Edunov, Maja Kabiljo, Dionysios Logothetis, Sambavi Muthukrishnan:
One Trillion Edges: Graph Processing at Facebook-Scale. Proc. VLDB Endow. 8(12): 1804-1815 (2015)
Coauthor Index
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