Michael Auli

Facebook AI Research

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I work on machine learning, natural language processing and speech recognition.

Papers64 papers

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Robust and On-the-fly Dataset Denoising for Image Classification

Song Jiaming, Hu Lunjia,Dauphin Yann,Auli Michael,Ma Tengyu

european conference on computer vision, pp.556-572, (2020)

Cited by1Bibtex

Language Models not just for Pre-training: Fast Online Neural Noisy Channel Modeling

Shruti Bhosale, Kyra Yee, Sergey Edunov,Michael Auli

WMT@EMNLP, pp.584-593, (2020)

EIBibtex

A Comparison of Discrete Latent Variable Models for Speech Representation Learning

Henry Zhou,Alexei Baevski,Michael Auli

Bibtex

Self-training and Pre-training are Complementary for Speech Recognition

Qiantong Xu,Alexei Baevski, Tatiana Likhomanenko, Paden Tomasello, Alexis Conneau,Ronan Collobert,Gabriel Synnaeve,Michael Auli

Bibtex

Beyond English-Centric Multilingual Machine Translation

Angela Fan, Shruti Bhosale,Holger Schwenk, Zhiyi Ma, Ahmed El-Kishky, Siddharth Goyal, Mandeep Baines, Onur Celebi,Guillaume Wenzek,Vishrav Chaudhary,Naman Goyal, Tom Birch

Bibtex

Reservoir Transformer

Sheng Shen,Alexei Baevski, Ari S. Morcos, Kurt Keutzer,Michael Auli, Douwe Kiela

Bibtex

Unsupervised Cross-lingual Representation Learning for Speech Recognition

Alexis Conneau,Alexei Baevski,Ronan Collobert,Abdelrahman Mohamed,Michael Auli

Bibtex

wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

Alexei Baevski,Henry Zhou,Abdelrahman Mohamed,Michael Auli

NIPS 2020, (2020)

Cited by19EIBibtex

On The Evaluation of Machine Translation SystemsTrained With Back-Translation

Sergey Edunov,Myle Ott, Marc’Aurelio Ranzato,Michael Auli

ACL, pp.2836-2846, (2020)

EIBibtex

vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations

Alexei Baevski,Steffen Schneider,Michael Auli

ICLR, (2020)

Cited by51EIBibtex

Depth-Adaptive Transformer

Maha Elbayad,Jiatao Gu,Edouard Grave,Michael Auli

ICLR, (2020)

Cited by3EIBibtex

3D human pose estimation in video with temporal convolutions and semi-supervised training

Dario Pavllo,Christoph Feichtenhofer,David Grangier,Michael Auli

CVPR, (2019): 7753-7762

Cited by128EIBibtex

Improving Conditioning in Context-Aware Sequence to Sequence Models

Wang Xinyi,Weston Jason,Auli Michael,Jernite Yacine

Bibtex

Effectiveness of self-supervised pre-training for speech recognition

Baevski Alexei,Auli Michael,Mohamed Abdelrahman

Cited by8Bibtex

The Source-Target Domain Mismatch Problem in Machine Translation

Shen Jiajun, Chen Peng-Jen, Le Matt, He Junxian,Gu Jiatao,Ott Myle,Auli Michael, Ranzato Marc'Aurelio

Bibtex

Simple and Effective Noisy Channel Modeling for Neural Machine Translation

Yee Kyra, Ng Nathan,Dauphin Yann N.,Auli Michael

Cited by5Bibtex

Facebook FAIR's WMT19 News Translation Task Submission

Ng Nathan, Yee Kyra,Baevski Alexei,Ott Myle,Auli Michael, Edunov Sergey

WMT (2), pp.314-319, (2019)

EIBibtex

GLOSS: Generative Latent Optimization of Sentence Representations

Singh Sidak Pal, Fan Angela,Auli Michael

Bibtex

Cloze-driven Pretraining of Self-attention Networks

Alexei Baevski, Sergey Edunov, Yinhan Liu,Luke Zettlemoyer,Michael Auli

EMNLP/IJCNLP (1), pp.5359-5368, (2019)

Cited by42EIBibtex

wav2vec - Unsupervised Pre-Training for Speech Recognition

Steffen Schneider, Alexei Baevski,Ronan Collobert,Michael Auli

INTERSPEECH, pp.3465-3469, (2019)

Cited by44EIBibtex

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Michael AuliBinding

Papers64 papers

Michael Auli