Myle Ott
American Jewish Committee(US)Georgetown University(US)GS Caltex (South Korea)(KR)Heidelberg Institute for Theoretical Studies(DE)Robert Bosch (Germany)(DE)
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications, Spam and Phishing Detection, Misinformation and Its Impacts
Most-Cited Works
- → HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case(2019)17,204 cited
- → Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences(2021)2,898 cited
- → fairseq: A Fast, Extensible Toolkit for Sequence Modeling(2019)2,487 cited
- → Understanding Back-Translation at Scale(2018)1,010 cited
- → Finding Deceptive Opinion Spam by Any Stretch of the Imagination(2011)687 cited
- → Unsupervised Cross-lingual Representation Learning at Scale(2020)539 cited