Myle Ott

According to our database1, Myle Ott authored at least 52 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel.
Proc. VLDB Endow., 2023

PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel.
CoRR, 2023

2022
OPT: Open Pre-trained Transformer Language Models.
CoRR, 2022

Efficient Language Modeling with Sparse all-MLP.
CoRR, 2022


Few-shot Learning with Multilingual Generative Language Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022


On Anytime Learning at Macroscale.
Proceedings of the Conference on Lifelong Learning Agents, 2022

2021
Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences.
Proc. Natl. Acad. Sci. USA, 2021

Residual Energy-Based Models for Text.
J. Mach. Learn. Res., 2021

Efficient Large Scale Language Modeling with Mixtures of Experts.
CoRR, 2021

Few-shot Learning with Multilingual Language Models.
CoRR, 2021

Sustainable AI: Environmental Implications, Challenges and Opportunities.
CoRR, 2021

NormFormer: Improved Transformer Pretraining with Extra Normalization.
CoRR, 2021

Larger-Scale Transformers for Multilingual Masked Language Modeling.
Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

The Source-Target Domain Mismatch Problem in Machine Translation.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Recipes for Building an Open-Domain Chatbot.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Analyzing the Forgetting Problem in Pretrain-Finetuning of Open-domain Dialogue Response Models.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020
Few-shot Sequence Learning with Transformers.
CoRR, 2020

Recipes for building an open-domain chatbot.
CoRR, 2020

Energy-Based Models for Text.
CoRR, 2020

Residual Energy-Based Models for Text Generation.
Proceedings of the 8th International Conference on Learning Representations, 2020

How Decoding Strategies Affect the Verifiability of Generated Text.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

General Purpose Text Embeddings from Pre-trained Language Models for Scalable Inference.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

On The Evaluation of Machine Translation SystemsTrained With Back-Translation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Unsupervised Cross-lingual Representation Learning at Scale.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-Art.
Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020

2019
Mix-review: Alleviate Forgetting in the Pretrain-Finetune Framework for Neural Language Generation Models.
CoRR, 2019

On The Evaluation of Machine Translation Systems Trained With Back-Translation.
CoRR, 2019

RoBERTa: A Robustly Optimized BERT Pretraining Approach.
CoRR, 2019

Real or Fake? Learning to Discriminate Machine from Human Generated Text.
CoRR, 2019

Two New Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English.
CoRR, 2019

Facebook FAIR's WMT19 News Translation Task Submission.
Proceedings of the Fourth Conference on Machine Translation, 2019

fairseq: A Fast, Extensible Toolkit for Sequence Modeling.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Mixture Models for Diverse Machine Translation: Tricks of the Trade.
Proceedings of the 36th International Conference on Machine Learning, 2019

The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Facebook AI's WAT19 Myanmar-English Translation Task Submission.
Proceedings of the 6th Workshop on Asian Translation, 2019

2018
Scaling Neural Machine Translation.
Proceedings of the Third Conference on Machine Translation: Research Papers, 2018

Classical Structured Prediction Losses for Sequence to Sequence Learning.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Analyzing Uncertainty in Neural Machine Translation.
Proceedings of the 35th International Conference on Machine Learning, 2018

Phrase-Based & Neural Unsupervised Machine Translation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Understanding Back-Translation at Scale.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2014
Impact of Mobility and Timing on User-Generated Content.
MIS Q. Executive, 2014

Linguistic Models of Deceptive Opinion Spam.
Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, 2014

Towards a General Rule for Identifying Deceptive Opinion Spam.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Computational Linguistic Models of Deceptive Opinion Spam.
PhD thesis, 2013

Negative Deceptive Opinion Spam.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Properties, Prediction, and Prevalence of Useful User-Generated Comments for Descriptive Annotation of Social Media Objects.
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

Identifying Manipulated Offerings on Review Portals.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

2012
Estimating the prevalence of deception in online review communities.
Proceedings of the 21st World Wide Web Conference 2012, 2012

2011
Multi-aspect Sentiment Analysis with Topic Models.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Finding Deceptive Opinion Spam by Any Stretch of the Imagination.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011


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