Myle Ott
28 papers · 2011–2022 · 7 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (38) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Deep Specialist
(11)
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Prolific Year · Productive
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Unstoppable · Bronze
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Century Club · Bronze
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Research topics
Natural Language Processing
(18)
Machine Learning
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Deep Learning
(13)
Applications
(11)
Learning Types · Machine Learning
(8)
Artificial Intelligence
(6)
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(6)
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Core AI
(5)
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Learning Types · Deep Learning
(3)
Optimization & Theory
(3)
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Keywords
neural machine translation
(8)
language model
(7)
machine translation
(6)
text generation
(5)
multilingual language model
(3)
low-resource language
(3)
transformer model
(2)
monolingual data
(2)
dialogue generation
(2)
pre-trained language model
(2)
sequence modeling
(2)
translation quality
(2)
energy-based model
(2)
beam search
(2)
bleu score
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cross-lingual transfer
(2)
transformer architecture
(2)
masked language modeling
(2)
natural language inference
(1)
transfer learning
(1)
Papers
Efficient Large Scale Language Modeling with Mixtures of Experts
EMNLP 2022
Few-shot Learning with Multilingual Generative Language Models
EMNLP 2022
Analyzing the Forgetting Problem in Pretrain-Finetuning of Open-domain Dialogue Response Models
EACL 2021
Larger-Scale Transformers for Multilingual Masked Language Modeling
ACL 2021
Recipes for Building an Open-Domain Chatbot
EACL 2021
Residual Energy-Based Models for Text
JMLR 2021
The Source-Target Domain Mismatch Problem in Machine Translation
EACL 2021
General Purpose Text Embeddings from Pre-trained Language Models for Scalable Inference
EMNLP 2020
How Decoding Strategies Affect the Verifiability of Generated Text
EMNLP 2020
On The Evaluation of Machine Translation Systems Trained With Back-Translation
ACL 2020
Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-Art
EMNLP 2020
Residual Energy-Based Models for Text Generation
ICLR 2020
Unsupervised Cross-lingual Representation Learning at Scale
ACL 2020
Facebook AI’s WAT19 Myanmar-English Translation Task Submission
EMNLP 2019
Facebook FAIR’s WMT19 News Translation Task Submission
ACL 2019
fairseq: A Fast, Extensible Toolkit for Sequence Modeling
NAACL 2019
Mixture Models for Diverse Machine Translation: Tricks of the Trade
ICML 2019
The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali–English and Sinhala–English
EMNLP 2019
Analyzing Uncertainty in Neural Machine Translation
ICML 2018
Classical Structured Prediction Losses for Sequence to Sequence Learning
NAACL 2018
Phrase-Based & Neural Unsupervised Machine Translation
EMNLP 2018
Scaling Neural Machine Translation
EMNLP 2018
Understanding Back-Translation at Scale
EMNLP 2018
Towards a General Rule for Identifying Deceptive Opinion Spam
ACL 2014
Identifying Manipulated Offerings on Review Portals
EMNLP 2013
Negative Deceptive Opinion Spam
NAACL 2013
Proceedings of the NAACL HLT 2012 Student Research Workshop
NAACL 2012
Finding Deceptive Opinion Spam by Any Stretch of the Imagination
ACL 2011