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Michael Auli
Research Scientist
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ARTIFICIAL INTELLIGENCE
NATURAL LANGUAGE PROCESSING & SPEECH
I am a Research Scientist at Facebook AI Research since 2015. Previously, I was a postdoc at Microsoft Research in Redmond working on improving translation quality using recurrent neural networks. I earned my Ph.D. at the University of Edinburgh for my work on syntactic parsing with approximate inference where I was advised by Adam Lopez and Philipp Koehn. I received a distinguished paper award at EMNLP in 2011 for my work on combinatory categorial grammar parsing.
Interests
Natural language processing, parsing, statistical machine translation, language modeling, structured prediction, large-scale discriminative training, deep learning, recurrent neural networks
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Latest Publications
NeurIPS - December 6, 2020
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
Alexei Baevski, Henry Zhou, Abdelrahman Mohamed, Michael Auli
WMT - November 16, 2020
Language Models not just for Pre-training: Fast Online Neural Noisy Channel Modeling
Shruti Bhosale, Kyra Yee, Sergey Edunov, Michael Auli
arXiv - July 3, 2020
On The Evaluation of Machine Translation Systems Trained With Back-Translation
Sergey Edunov, Myle Ott, Marc'Aurelio Ranzato, Michael Auli
ICLR - April 27, 2020
vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations
Alexei Baevski, Steffen Schneider, Michael Auli
ICLR - April 26, 2020
Depth-Adaptive Transformer
Maha Elbayad, Jiatao Gu, Edouard Grave, Michael Auli
EMNLP - November 7, 2019
Cloze-driven Pretraining of Self-attention Networks
Alexei Baevski, Sergey Edunov, Yinhan Liu, Luke Zettlemoyer, Michael Auli
EMNLP - November 1, 2019
Simple and Effective Noisy Channel Modeling for Neural Machine Translation
Kyra Yee, Yann Dauphin, Michael Auli
Interspeech - September 15, 2019
wav2vec: Unsupervised Pre-training for Speech Recognition
Steffen Schneider, Alexei Baevski, Ronan Collobert, Michael Auli
ACL - July 28, 2019
ELI5: Long Form Question Answering
Angela Fan, Yacine Jernite, Ethan Perez, David Grangier, Jason Weston, Michael Auli
CVPR - June 16, 2019
3D human pose estimation in video with temporal convolutions and semi-supervised training
Dario Pavllo, Christoph Feichtenhofer, David Grangier, Michael Auli
ICML - June 10, 2019
Mixture Models for Diverse Machine Translation: Tricks of the Trade
Tianxiao Shen, Myle Ott, Michael Auli, Marc'Aurelio Ranzato
ICLR - June 3, 2019
Pay less attention with Lightweight and Dynamic Convolutions
Felix Wu, Angela Fan, Alexei Baevski, Yann Dauphin, Michael Auli
NAACL - June 3, 2019
FAIRSEQ: A Fast, Extensible Toolkit for Sequence Modeling
Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, Michael Auli
ICLR - May 6, 2019
Adaptive Input Representations for Neural Language Modeling
Alexei Baevski, Michael Auli
EMNLP 2018 - October 31, 2018
Understanding Back-Translation at Scale
Sergey Edunov, Myle Ott, Michael Auli, David Grangier
WMT 2018 - October 30, 2018
Scaling Neural Machine Translation
Myle Ott, Sergey Edunov, David Grangier, Michael Auli
BMVC 2018 - September 3, 2018
QuaterNet: A Quaternion-based Recurrent Model for Human Motion
Dario Pavllo, David Grangier, Michael Auli
ACL NMT Workshop 2018 - July 20, 2018
Controllable Abstractive Summarization
Angela Fan, David Grangier, Michael Auli
ICML 2018 - July 13, 2018
Analyzing Uncertainty in Neural Machine Translation
Myle Ott, Michael Auli, David Grangier, Marc'Aurelio Ranzato
NAACL 2018 - June 1, 2018
Classical Structured Prediction Losses for Sequence to Sequence Learning
Sergey Edunov, Myle Ott, Michael Auli, David Grangier, Marc'Aurelio Ranzato
NAACL 2018 - June 1, 2018
QuickEdit: Editing Text & Translations by Crossing Words Out
David Grangier, Michael Auli
ICML - August 6, 2017
Language Modeling with Gated Convolutional Networks
Yann Dauphin, Angela Fan, Michael Auli, David Grangier
ICML 2017 - August 6, 2017
Convolutional Sequence to Sequence Learning
Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, Yann N. Dauphin
ACL 2017 - July 30, 2017
A Convolutional Encoder Model for Neural Machine Translation
Jonas Gehring, Michael Auli, David Grangier, Yann Dauphin
EMNLP - November 1, 2016
Neural Text Generation from Structured Data with Application to the Biography Domain
Remi Lebret, David Grangier, Michael Auli
WMT16 - August 10, 2016
Neural Network-Based Word Alignment through Score Aggregation
Joel Legrand, Michael Auli, Ronan Collobert
ACL 2016 - August 7, 2016
Strategies for Training Large Vocabulary Neural Language Models
Wenlin Chen, David Grangier, Michael Auli
NAACL - April 13, 2016
Abstractive Summarization with Attentive RNN
Sumit Chopra, Michael Auli, Alexander M. Rush
ICLR - November 20, 2015
Sequence Level Training with Recurrent Neural Networks
Marc'Aurelio Ranzato, Sumit Chopra, Michael Auli, Wojciech Zaremba
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ARTIFICIAL INTELLIGENCE
May 9, 2017
A novel approach to neural machine translation
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