2026 Myle Ott: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	34	11857	11518	4835	4624	72	36869

Myle Ott publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Myle Ott sits on this spectrum.

32 publications 991+

This scientist: 72 publications — 2nd percentile

2% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Myle Ott D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Myle Ott sits on this spectrum.

30 D-Index 131+

This scientist: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Myle Ott is a researcher affiliated with Facebook in the United States, specializing primarily in computer science with a focus on artificial intelligence. Their work spans several subfields including computer vision and pattern recognition, molecular biology, computer networks and communications, and hardware and architecture. The predominant areas of study relate to advanced computational techniques in artificial intelligence and related domains.

The main topics addressed in their research include:

Topic Modeling
Natural Language Processing Techniques
Speech Recognition and Synthesis
Multimodal Machine Learning Applications
Advanced Neural Network Applications
Parallel Computing and Optimization Techniques
Advanced Data Storage Technologies

Among the recent papers authored or coauthored by Myle Ott are:

"Towards Learning Terminological Concept Systems from Multilingual Natural Language Text," 2021, published at Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
"Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences," 2021, Proceedings of the National Academy of Sciences
"Analysing Off-The-Shelf Options for Question Answering with Portuguese FAQs," 2022, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
"Sustainable AI: Environmental Implications, Challenges and Opportunities," 2021, arXiv (Cornell University)
"PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel," 2023, Proceedings of the VLDB Endowment

The frequent collaborators in their body of work include:

Sam Shleifer
Naman Goyal
Jingfei Du
Luke Zettlemoyer
Mikel Artetxe

Myle Ott's publications have appeared primarily in venues such as:

arXiv (Cornell University)
Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
Proceedings of the National Academy of Sciences
Proceedings of the VLDB Endowment
Proceedings of the International AAAI Conference on Web and Social Media

Best Publications

RoBERTa: A Robustly Optimized BERT Pretraining Approach

Yinhan Liu;Myle Ott;Naman Goyal;Jingfei Du

21673
Citations
Unsupervised Cross-lingual Representation Learning at Scale

Alexis Conneau;Kartikay Khandelwal;Naman Goyal;Vishrav Chaudhary

4500
Citations
Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences

Alexander Rives;Alexander Rives;Joshua Meier;Tom Sercu;Siddharth Goyal

2732
Citations
fairseq: A Fast, Extensible Toolkit for Sequence Modeling

Myle Ott;Sergey Edunov;Alexei Baevski;Angela Fan

2719
Citations
Finding Deceptive Opinion Spam by Any Stretch of the Imagination

Myle Ott;Yejin Choi;Claire Cardie;Jeffrey T. Hancock

1343
Citations
Understanding Back-Translation at Scale.

Sergey Edunov;Myle Ott;Michael Auli;David Grangier

1084
Citations
OPT: Open Pre-trained Transformer Language Models

Unknown

901
Citations
Phrase-Based & Neural Unsupervised Machine Translation

Guillaume Lample;Myle Ott;Alexis Conneau;Ludovic Denoyer

659
Citations
Recipes for building an open-domain chatbot

Stephen Roller;Emily Dinan;Naman Goyal;Da Ju

640
Citations
Scaling Neural Machine Translation

Myle Ott;Sergey Edunov;David Grangier;Michael Auli

617
Citations
Unsupervised Cross-lingual Representation Learning at Scale.

Alexis Conneau;Kartikay Khandelwal;Naman Goyal;Vishrav Chaudhary

569
Citations
Biological Structure and Function Emerge from Scaling Unsupervised Learning to 250 Million Protein Sequences

Alexander Rives;Siddharth Goyal;Joshua Meier;Demi Guo

460
Citations
Towards a General Rule for Identifying Deceptive Opinion Spam

Jiwei Li;Myle Ott;Claire Cardie;Eduard Hovy

428
Citations
Negative Deceptive Opinion Spam

Myle Ott;Claire Cardie;Jeffrey T. Hancock

391
Citations
Estimating the prevalence of deception in online review communities

Myle Ott;Claire Cardie;Jeff Hancock

368
Citations
Sustainable AI: Environmental Implications, Challenges and Opportunities.

Carole-Jean Wu;Ramya Raghavendra;Udit Gupta;Bilge Acun

343
Citations
Facebook FAIR’s WMT19 News Translation Task Submission

Nathan Ng;Kyra Yee;Alexei Baevski;Myle Ott

336
Citations
Multi-aspect Sentiment Analysis with Topic Models

Bin Lu;Myle Ott;Claire Cardie;Benjamin K. Tsou

320
Citations
Recipes for building an open-domain chatbot

Stephen Roller;Emily Dinan;Naman Goyal;Da Ju

284
Citations
The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali–English and Sinhala–English

Francisco Guzmán;Peng-Jen Chen;Myle Ott;Juan Miguel Pino

216
Citations
Few-shot Learning with Multilingual Generative Language Models

Unknown

207
Citations
PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel

Unknown

182
Citations
fairseq: A Fast, Extensible Toolkit for Sequence Modeling.

Myle Ott;Sergey Edunov;Alexei Baevski;Angela Fan

180
Citations
Classical Structured Prediction Losses for Sequence to Sequence Learning.

Sergey Edunov;Myle Ott;Michael Auli;David Grangier

179
Citations
Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-Art.

Patrick S. H. Lewis;Myle Ott;Jingfei Du;Veselin Stoyanov

162
Citations
Phrase-Based & Neural Unsupervised Machine Translation.

Guillaume Lample;Myle Ott;Alexis Conneau;Ludovic Denoyer

129
Citations

Frequent Co-Authors

Marc'Aurelio Ranzato DeepMind (United Kingdom)

Michael Auli Facebook (United States)

Claire Cardie Cornell University

David Grangier Google (United States)

Jeffrey T. Hancock Stanford University

Arthur Szlam DeepMind (United Kingdom)

Veselin Stoyanov Facebook (United States)

Alexis Conneau Facebook (United States)

Luke Zettlemoyer University of Washington

Jason Weston Facebook (United States)

External Links

Personal website of Myle Ott

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