Követés
Myle Ott
Myle Ott
Google DeepMind
E-mail megerősítve itt: google.com - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
RoBERTa: A robustly optimized BERT pretraining approach
Y Liu, M Ott, N Goyal, J Du, M Joshi, D Chen, O Levy, M Lewis, ...
arXiv preprint arXiv:1907.11692, 2019
30003*2019
Unsupervised cross-lingual representation learning at scale
A Conneau, K Khandelwal, N Goyal, V Chaudhary, G Wenzek, F Guzmán, ...
arXiv preprint arXiv:1911.02116, 2019
65732019
OPT: Open Pre-trained Transformer Language Models
S Zhang, S Roller, N Goyal, M Artetxe, M Chen, S Chen, C Dewan, ...
arXiv preprint arXiv:2205.01068, 2022
3380*2022
fairseq: A fast, extensible toolkit for sequence modeling
M Ott, S Edunov, A Baevski, A Fan, S Gross, N Ng, D Grangier, M Auli
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
32782019
Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences
A Rives, J Meier, T Sercu, S Goyal, Z Lin, J Liu, D Guo, M Ott, CL Zitnick, ...
Proceedings of the National Academy of Sciences 118 (15), e2016239118, 2021
21122021
Finding deceptive opinion spam by any stretch of the imagination
M Ott, Y Choi, C Cardie, JT Hancock
Proceedings of the 49th Annual Meeting of the Association for Computational …, 2011
19302011
Understanding Back-Translation at Scale
S Edunov, M Ott, M Auli, D Grangier
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
13722018
Recipes for building an open-domain chatbot
S Roller
arXiv preprint arXiv:2004.13637, 2020
11052020
Phrase-Based & Neural Unsupervised Machine Translation
G Lample, M Ott, A Conneau, L Denoyer, MA Ranzato
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
7992018
Scaling Neural Machine Translation
M Ott, S Edunov, D Grangier, M Auli
Proceedings of the Third Conference on Machine Translation (WMT), 2018
6732018
Negative Deceptive Opinion Spam
M Ott, C Cardie, JT Hancock
Proceedings of NAACL-HLT, 2013
5502013
Sustainable AI: Environmental implications, challenges and opportunities
CJ Wu, R Raghavendra, U Gupta, B Acun, N Ardalani, K Maeng, G Chang, ...
Proceedings of Machine Learning and Systems 4, 795-813, 2022
5042022
Towards a general rule for identifying deceptive opinion spam
J Li, M Ott, C Cardie, E Hovy
Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014
4742014
Facebook FAIR's WMT19 News Translation Task Submission
N Ng, K Yee, A Baevski, M Ott, M Auli, S Edunov
Proceedings of the Fourth Conference on Machine Translation (WMT), 2019
4322019
Estimating the prevalence of deception in online review communities
M Ott, C Cardie, J Hancock
Proceedings of the 21st international conference on World Wide Web, 201-210, 2012
4242012
Multi-aspect Sentiment Analysis with Topic Models
B Lu, M Ott, C Cardie, BK Tsou
Proceedings of the ICDM 2011 Workshop on Sentiment Elicitation from Natural …, 2011
3882011
Announcement of the 2021 ACL Test-of-Time Paper Award
A Berger, S Della Pietra, V Della Pietra, J Carletta, M Taboada, J Brooke, ...
Computational Linguistics 22 (1), 1996
3431996
The FLoRes Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English
F Guzmán, PJ Chen, M Ott, J Pino, G Lample, P Koehn, V Chaudhary, ...
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
3142019
Analyzing Uncertainty in Neural Machine Translation
M Ott, M Auli, D Grangier, MA Ranzato
Proceedings of the 35th International Conference on Machine Learning, 2018
2842018
Pretrained language models for biomedical and clinical tasks: understanding and extending the state-of-the-art
P Lewis, M Ott, J Du, V Stoyanov
Proceedings of the 3rd clinical natural language processing workshop, 146-157, 2020
2402020
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Cikkek 1–20