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Myle Ott
Myle Ott
Character AI
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Zitiert von
Jahr
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
15441*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
33882019
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
22602019
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
16832011
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
10172018
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
8832021
Analyzing Uncertainty in Neural Machine Translation
M Ott, M Auli, D Grangier, MA Ranzato
Proceedings of the 35th International Conference on Machine Learning, 2018
7502018
Recipes for building an open-domain chatbot
S Roller, E Dinan, N Goyal, D Ju, M Williamson, Y Liu, J Xu, M Ott, ...
arXiv preprint arXiv:2004.13637, 2020
6832020
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
6622018
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
581*2022
Negative Deceptive Opinion Spam
M Ott, C Cardie, JT Hancock
Proceedings of NAACL-HLT, 2013
4732013
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
3932014
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
3832012
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
3212011
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
3052019
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
2152019
Classical Structured Prediction Losses for Sequence to Sequence Learning
S Edunov, M Ott, M Auli, D Grangier, MA Ranzato
Proceedings of NAACL-HLT 2018, 355-364, 2018
1712018
Mixture Models for Diverse Machine Translation: Tricks of the Trade
T Shen, M Ott, M Auli, MA Ranzato
Proceedings of the 36th International Conference on Machine Learning, 2019
1002019
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
992020
Residual energy-based models for text generation
Y Deng, A Bakhtin, M Ott, A Szlam, MA Ranzato
arXiv preprint arXiv:2004.11714, 2020
862020
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