Myle Ott

70 papers A* 12A 4Journal 37Unranked 16
YearRankTypeTitle / Venue / Authors
2023 J jnl
PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel.
CoRR
Yanli Zhao, Andrew Gu, Rohan Varma, Liang Luo, Chien-Chin Huang, Min Xu, Less Wright, Hamid Shojanazeri, Myle Ott, Sam Shleifer, Alban Desmaison, Can Balioglu, Bernard Nguyen, Geeta Chauhan, Yuchen Hao, Shen Li
2023 J jnl
PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel.
Proc. VLDB Endow.
Yanli Zhao, Andrew Gu, Rohan Varma, Liang Luo, Chien-Chin Huang, Min Xu, Less Wright, Hamid Shojanazeri, Myle Ott, Sam Shleifer, Alban Desmaison, Can Balioglu, Pritam Damania, Bernard Nguyen, Geeta Chauhan, Yuchen Hao, Ajit Mathews, Shen Li
2022 J jnl
Efficient Language Modeling with Sparse all-MLP.
CoRR
Ping Yu, Mikel Artetxe, Myle Ott, Sam Shleifer, Hongyu Gong, Ves Stoyanov, Xian Li
2022 A* conf
Efficient Large Scale Language Modeling with Mixtures of Experts.
EMNLP
Mikel Artetxe, Shruti Bhosale, Naman Goyal, Todor Mihaylov, Myle Ott, Sam Shleifer, Xi Victoria Lin, Jingfei Du, Srinivasan Iyer, Ramakanth Pasunuru, Giridharan Anantharaman, Xian Li, Shuohui Chen, Halil Akin, Mandeep Baines, Louis Martin, Xing Zhou, Punit Singh Koura, Brian O'Horo, Jeffrey Wang, Luke Zettlemoyer, Mona T. Diab, Zornitsa Kozareva, Veselin Stoyanov
2022 A* conf
Few-shot Learning with Multilingual Generative Language Models.
EMNLP
Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, Tianlu Wang, Shuohui Chen, Daniel Simig, Myle Ott, Naman Goyal, Shruti Bhosale, Jingfei Du, Ramakanth Pasunuru, Sam Shleifer, Punit Singh Koura, Vishrav Chaudhary, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Zornitsa Kozareva, Mona T. Diab, Veselin Stoyanov, Xian Li
2022 J jnl
OPT: Open Pre-trained Transformer Language Models.
CoRR
Susan Zhang, Stephen Roller, Naman Goyal, Mikel Artetxe, Moya Chen, Shuohui Chen, Christopher Dewan, Mona T. Diab, Xian Li, Xi Victoria Lin, Todor Mihaylov, Myle Ott, Sam Shleifer, Kurt Shuster, Daniel Simig, Punit Singh Koura, Anjali Sridhar, Tianlu Wang, Luke Zettlemoyer
2022 — conf
On Anytime Learning at Macroscale.
CoLLAs
Lucas Caccia, Jing Xu, Myle Ott, Marc'Aurelio Ranzato, Ludovic Denoyer
2022 — conf
Sustainable AI: Environmental Implications, Challenges and Opportunities.
MLSys
Carole-Jean Wu, Ramya Raghavendra, Udit Gupta, Bilge Acun, Newsha Ardalani, Kiwan Maeng, Gloria Chang, Fiona Aga Behram, Jinshi Huang, Charles Bai, Michael Gschwind, Anurag Gupta, Myle Ott, Anastasia Melnikov, Salvatore Candido, David Brooks, Geeta Chauhan, Benjamin C. Lee, Hsien-Hsin S. Lee, Bugra Akyildiz, Maximilian Balandat, Joe Spisak, Ravi Jain, Mike Rabbat, Kim M. Hazelwood
2021 A conf
Analyzing the Forgetting Problem in Pretrain-Finetuning of Open-domain Dialogue Response Models.
EACL
Tianxing He, Jun Liu, Kyunghyun Cho, Myle Ott, Bing Liu, James R. Glass, Fuchun Peng
2021 J jnl
Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences.
Proc. Natl. Acad. Sci. USA
Alexander Rives, Joshua Meier, Tom Sercu, Siddharth Goyal, Zeming Lin, Jason Liu, Demi Guo, Myle Ott, C. Lawrence Zitnick, Jerry Ma, Rob Fergus
2021 J jnl
Efficient Large Scale Language Modeling with Mixtures of Experts.
CoRR
Mikel Artetxe, Shruti Bhosale, Naman Goyal, Todor Mihaylov, Myle Ott, Sam Shleifer, Xi Victoria Lin, Jingfei Du, Srinivasan Iyer, Ramakanth Pasunuru, Giri Anantharaman, Xian Li, Shuohui Chen, Halil Akin, Mandeep Baines, Louis Martin, Xing Zhou, Punit Singh Koura, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Mona T. Diab, Zornitsa Kozareva, Ves Stoyanov
2021 J jnl
Few-shot Learning with Multilingual Language Models.
CoRR
Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, Tianlu Wang, Shuohui Chen, Daniel Simig, Myle Ott, Naman Goyal, Shruti Bhosale, Jingfei Du, Ramakanth Pasunuru, Sam Shleifer, Punit Singh Koura, Vishrav Chaudhary, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Zornitsa Kozareva, Mona T. Diab, Veselin Stoyanov, Xian Li
2021 — conf
Larger-Scale Transformers for Multilingual Masked Language Modeling.
RepL4NLP@ACL-IJCNLP
Naman Goyal, Jingfei Du, Myle Ott, Giri Anantharaman, Alexis Conneau
2021 J jnl
Larger-Scale Transformers for Multilingual Masked Language Modeling.
CoRR
Naman Goyal, Jingfei Du, Myle Ott, Giri Anantharaman, Alexis Conneau
2021 J jnl
NormFormer: Improved Transformer Pretraining with Extra Normalization.
CoRR
Sam Shleifer, Jason Weston, Myle Ott
2021 J jnl
On Anytime Learning at Macroscale.
CoRR
Lucas Caccia, Jing Xu, Myle Ott, Marc'Aurelio Ranzato, Ludovic Denoyer
2021 A conf
Recipes for Building an Open-Domain Chatbot.
EACL
Stephen Roller, Emily Dinan, Naman Goyal, Da Ju, Mary Williamson, Yinhan Liu, Jing Xu, Myle Ott, Eric Michael Smith, Y-Lan Boureau, Jason Weston
2021 J jnl
Residual Energy-Based Models for Text.
J. Mach. Learn. Res.
Anton Bakhtin, Yuntian Deng, Sam Gross, Myle Ott, Marc'Aurelio Ranzato, Arthur Szlam
2021 J jnl
Sustainable AI: Environmental Implications, Challenges and Opportunities.
CoRR
Carole-Jean Wu, Ramya Raghavendra, Udit Gupta, Bilge Acun, Newsha Ardalani, Kiwan Maeng, Gloria Chang, Fiona Aga Behram, James Huang, Charles Bai, Michael Gschwind, Anurag Gupta, Myle Ott, Anastasia Melnikov, Salvatore Candido, David Brooks, Geeta Chauhan, Benjamin C. Lee, Hsien-Hsin S. Lee, Bugra Akyildiz, Maximilian Balandat, Joe Spisak, Ravi Jain, Mike Rabbat, Kim M. Hazelwood
2021 A conf
The Source-Target Domain Mismatch Problem in Machine Translation.
EACL
Jiajun Shen, Peng-Jen Chen, Matt Le, Junxian He, Jiatao Gu, Myle Ott, Michael Auli, Marc'Aurelio Ranzato
2020 J jnl
Energy-Based Models for Text.
CoRR
Anton Bakhtin, Yuntian Deng, Sam Gross, Myle Ott, Marc'Aurelio Ranzato, Arthur Szlam
2020 J jnl
Few-shot Sequence Learning with Transformers.
CoRR
Lajanugen Logeswaran, Ann Lee, Myle Ott, Honglak Lee, Marc'Aurelio Ranzato, Arthur Szlam
2020 — conf
General Purpose Text Embeddings from Pre-trained Language Models for Scalable Inference.
EMNLP (Findings)
Jingfei Du, Myle Ott, Haoran Li, Xing Zhou, Veselin Stoyanov
2020 J jnl
General Purpose Text Embeddings from Pre-trained Language Models for Scalable Inference.
CoRR
Jingfei Du, Myle Ott, Haoran Li, Xing Zhou, Veselin Stoyanov
2020 — conf
How Decoding Strategies Affect the Verifiability of Generated Text.
EMNLP (Findings)
Luca Massarelli, Fabio Petroni, Aleksandra Piktus, Myle Ott, Tim Rocktäschel, Vassilis Plachouras, Fabrizio Silvestri, Sebastian Riedel
2020 A* conf
On The Evaluation of Machine Translation SystemsTrained With Back-Translation.
ACL
Sergey Edunov, Myle Ott, Marc'Aurelio Ranzato, Michael Auli
2020 — conf
Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-Art.
ClinicalNLP@EMNLP
Patrick Lewis, Myle Ott, Jingfei Du, Veselin Stoyanov
2020 J jnl
Recipes for building an open-domain chatbot.
CoRR
Stephen Roller, Emily Dinan, Naman Goyal, Da Ju, Mary Williamson, Yinhan Liu, Jing Xu, Myle Ott, Kurt Shuster, Eric Michael Smith, Y-Lan Boureau, Jason Weston
2020 A* conf
Residual Energy-Based Models for Text Generation.
ICLR
Yuntian Deng, Anton Bakhtin, Myle Ott, Arthur Szlam, Marc'Aurelio Ranzato
2020 J jnl
Residual Energy-Based Models for Text Generation.
CoRR
Yuntian Deng, Anton Bakhtin, Myle Ott, Arthur Szlam, Marc'Aurelio Ranzato
2020 A* conf
Unsupervised Cross-lingual Representation Learning at Scale.
ACL
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, Veselin Stoyanov
2019 — conf
Facebook AI's WAT19 Myanmar-English Translation Task Submission.
WAT@EMNLP-IJCNLP
Peng-Jen Chen, Jiajun Shen, Matt Le, Vishrav Chaudhary, Ahmed El-Kishky, Guillaume Wenzek, Myle Ott, Marc'Aurelio Ranzato
2019 J jnl
Facebook AI's WAT19 Myanmar-English Translation Task Submission.
CoRR
Peng-Jen Chen, Jiajun Shen, Matt Le, Vishrav Chaudhary, Ahmed El-Kishky, Guillaume Wenzek, Myle Ott, Marc'Aurelio Ranzato
2019 — conf
Facebook FAIR's WMT19 News Translation Task Submission.
WMT (2)
Nathan Ng, Kyra Yee, Alexei Baevski, Myle Ott, Michael Auli, Sergey Edunov
2019 J jnl
Facebook FAIR's WMT19 News Translation Task Submission.
CoRR
Nathan Ng, Kyra Yee, Alexei Baevski, Myle Ott, Michael Auli, Sergey Edunov
2019 J jnl
How Decoding Strategies Affect the Verifiability of Generated Text.
CoRR
Luca Massarelli, Fabio Petroni, Aleksandra Piktus, Myle Ott, Tim Rocktäschel, Vassilis Plachouras, Fabrizio Silvestri, Sebastian Riedel
2019 J jnl
Mix-review: Alleviate Forgetting in the Pretrain-Finetune Framework for Neural Language Generation Models.
CoRR
Tianxing He, Jun Liu, Kyunghyun Cho, Myle Ott, Bing Liu, James R. Glass, Fuchun Peng
2019 A* conf
Mixture Models for Diverse Machine Translation: Tricks of the Trade.
ICML
Tianxiao Shen, Myle Ott, Michael Auli, Marc'Aurelio Ranzato
2019 J jnl
Mixture Models for Diverse Machine Translation: Tricks of the Trade.
CoRR
Tianxiao Shen, Myle Ott, Michael Auli, Marc'Aurelio Ranzato
2019 J jnl
On The Evaluation of Machine Translation Systems Trained With Back-Translation.
CoRR
Sergey Edunov, Myle Ott, Marc'Aurelio Ranzato, Michael Auli
2019 J jnl
Real or Fake? Learning to Discriminate Machine from Human Generated Text.
CoRR
Anton Bakhtin, Sam Gross, Myle Ott, Yuntian Deng, Marc'Aurelio Ranzato, Arthur Szlam
2019 J jnl
RoBERTa: A Robustly Optimized BERT Pretraining Approach.
CoRR
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, Veselin Stoyanov
2019 — conf
The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English.
EMNLP/IJCNLP (1)
Francisco Guzmán, Peng-Jen Chen, Myle Ott, Juan Miguel Pino, Guillaume Lample, Philipp Koehn, Vishrav Chaudhary, Marc'Aurelio Ranzato
2019 J jnl
The Source-Target Domain Mismatch Problem in Machine Translation.
CoRR
Jiajun Shen, Peng-Jen Chen, Matt Le, Junxian He, Jiatao Gu, Myle Ott, Michael Auli, Marc'Aurelio Ranzato
2019 J jnl
Two New Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English.
CoRR
Francisco Guzmán, Peng-Jen Chen, Myle Ott, Juan Miguel Pino, Guillaume Lample, Philipp Koehn, Vishrav Chaudhary, Marc'Aurelio Ranzato
2019 J jnl
Unsupervised Cross-lingual Representation Learning at Scale.
CoRR
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, Veselin Stoyanov
2019 — conf
fairseq: A Fast, Extensible Toolkit for Sequence Modeling.
NAACL-HLT (Demonstrations)
Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, Michael Auli
2019 J jnl
fairseq: A Fast, Extensible Toolkit for Sequence Modeling.
CoRR
Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, Michael Auli
2018 A* conf
Analyzing Uncertainty in Neural Machine Translation.
ICML
Myle Ott, Michael Auli, David Grangier, Marc'Aurelio Ranzato
2018 J jnl
Analyzing Uncertainty in Neural Machine Translation.
CoRR
Myle Ott, Michael Auli, David Grangier, Marc'Aurelio Ranzato
2018 — conf
Classical Structured Prediction Losses for Sequence to Sequence Learning.
NAACL-HLT
Sergey Edunov, Myle Ott, Michael Auli, David Grangier, Marc'Aurelio Ranzato
2018 A* conf
Phrase-Based & Neural Unsupervised Machine Translation.
EMNLP
Guillaume Lample, Myle Ott, Alexis Conneau, Ludovic Denoyer, Marc'Aurelio Ranzato
2018 J jnl
Phrase-Based & Neural Unsupervised Machine Translation.
CoRR
Guillaume Lample, Myle Ott, Alexis Conneau, Ludovic Denoyer, Marc'Aurelio Ranzato
2018 — conf
Scaling Neural Machine Translation.
WMT
Myle Ott, Sergey Edunov, David Grangier, Michael Auli
2018 J jnl
Scaling Neural Machine Translation.
CoRR
Myle Ott, Sergey Edunov, David Grangier, Michael Auli
2018 A* conf
Understanding Back-Translation at Scale.
EMNLP
Sergey Edunov, Myle Ott, Michael Auli, David Grangier
2018 J jnl
Understanding Back-Translation at Scale.
CoRR
Sergey Edunov, Myle Ott, Michael Auli, David Grangier
2017 J jnl
Classical Structured Prediction Losses for Sequence to Sequence Learning.
CoRR
Sergey Edunov, Myle Ott, Michael Auli, David Grangier, Marc'Aurelio Ranzato
2014 J jnl
Impact of Mobility and Timing on User-Generated Content.
MIS Q. Executive
Gabriele Piccoli, Myle Ott
2014 — conf
Linguistic Models of Deceptive Opinion Spam.
WASSA@ACL
Myle Ott
2014 — conf
Towards a General Rule for Identifying Deceptive Opinion Spam.
ACL (1)
Jiwei Li, Myle Ott, Claire Cardie, Eduard H. Hovy
2013 — —
Computational Linguistic Models of Deceptive Opinion Spam.
Myle Ott
2013 A* conf
Identifying Manipulated Offerings on Review Portals.
EMNLP
Jiwei Li, Myle Ott, Claire Cardie
2013 — conf
Negative Deceptive Opinion Spam.
HLT-NAACL
Myle Ott, Claire Cardie, Jeffrey T. Hancock
2013 A conf
Properties, Prediction, and Prevalence of Useful User-Generated Comments for Descriptive Annotation of Social Media Objects.
ICWSM
Elaheh Momeni, Claire Cardie, Myle Ott
2012 J jnl
Estimating the Prevalence of Deception in Online Review Communities
CoRR
Myle Ott, Claire Cardie, Jeffrey T. Hancock
2012 A* conf
Estimating the prevalence of deception in online review communities.
WWW
Myle Ott, Claire Cardie, Jeffrey T. Hancock
2011 J jnl
Finding Deceptive Opinion Spam by Any Stretch of the Imagination
CoRR
Myle Ott, Yejin Choi, Claire Cardie, Jeffrey T. Hancock
2011 A* conf
Finding Deceptive Opinion Spam by Any Stretch of the Imagination.
ACL
Myle Ott, Yejin Choi, Claire Cardie, Jeffrey T. Hancock
2011 — conf
Multi-aspect Sentiment Analysis with Topic Models.
ICDM Workshops
Bin Lu, Myle Ott, Claire Cardie, Benjamin K. Tsou