Michael Auli

According to our database, Michael Auli authored at least 93 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Scaling Speech Technology to 1, 000+ Languages.

Vineel Pratap, Andros Tjandra, Bowen Shi, Paden Tomasello, Arun Babu, Sayani Kundu, Ali Elkahky, Zhaoheng Ni, Apoorv Vyas, Maryam Fazel-Zarandi, Alexei Baevski, Yossi Adi, Xiaohui Zhang, Wei-Ning Hsu, Alexis Conneau, Michael Auli

CoRR, 2023

DinoSR: Self-Distillation and Online Clustering for Self-supervised Speech Representation Learning.

Alexander H. Liu, Heng-Jui Chang, Michael Auli, Wei-Ning Hsu, Jim Glass

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language.

Alexei Baevski, Arun Babu, Wei-Ning Hsu, Michael Auli

Proceedings of the International Conference on Machine Learning, 2023

Measuring the Impact of Domain Factors in Self-Supervised Pre-Training.

Ramon Sanabria, Wei-Ning Hsu, Alexei Baevski, Michael Auli

Proceedings of the IEEE International Conference on Acoustics, 2023

Toward Joint Language Modeling for Speech Units and Text.

Ju-Chieh Chou, Chung-Ming Chien, Wei-Ning Hsu, Karen Livescu, Arun Babu, Alexis Conneau, Alexei Baevski, Michael Auli

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Av-Data2Vec: Self-Supervised Learning of Audio-Visual Speech Representations with Contextualized Target Representations.

Jiachen Lian, Alexei Baevski, Wei-Ning Hsu, Michael Auli

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

Simple and Effective Unsupervised Speech Translation.

Changhan Wang, Hirofumi Inaguma, Peng-Jen Chen, Ilia Kulikov, Yun Tang, Wei-Ning Hsu, Michael Auli, Juan Pino

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Measuring the Impact of Individual Domain Factors in Self-Supervised Pre-Training.

Ramon Sanabria, Wei-Ning Hsu, Alexei Baevski, Michael Auli

CoRR, 2022

Towards End-to-End Unsupervised Speech Recognition.

Alexander H. Liu, Wei-Ning Hsu, Michael Auli, Alexei Baevski

Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Masked Autoencoders that Listen.

Po-Yao Huang, Hu Xu, Juncheng Li, Alexei Baevski, Michael Auli, Wojciech Galuba, Florian Metze, Christoph Feichtenhofer

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Simple and Effective Zero-shot Cross-lingual Phoneme Recognition.

Qiantong Xu, Alexei Baevski, Michael Auli

Proceedings of the Interspeech 2022, 2022

On-demand compute reduction with stochastic wav2vec 2.0.

Apoorv Vyas, Wei-Ning Hsu, Michael Auli, Alexei Baevski

Proceedings of the Interspeech 2022, 2022

Wav2Vec-Aug: Improved self-supervised training with limited data.

Anuroop Sriram, Michael Auli, Alexei Baevski

Proceedings of the Interspeech 2022, 2022

Simple and Effective Unsupervised Speech Synthesis.

Alexander H. Liu, Cheng-I Lai, Wei-Ning Hsu, Michael Auli, Alexei Baevski, James R. Glass

Proceedings of the Interspeech 2022, 2022

XTREME-S: Evaluating Cross-lingual Speech Representations.

Alexis Conneau, Ankur Bapna, Yu Zhang, Min Ma, Patrick von Platen, Anton Lozhkov, Colin Cherry, Ye Jia, Clara Rivera, Mihir Kale, Daan van Esch, Vera Axelrod, Simran Khanuja, Jonathan H. Clark, Orhan Firat, Michael Auli, Sebastian Ruder, Jason Riesa, Melvin Johnson

Proceedings of the Interspeech 2022, 2022

XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale.

Arun Babu, Changhan Wang, Andros Tjandra, Kushal Lakhotia, Qiantong Xu, Naman Goyal, Kritika Singh, Patrick von Platen, Yatharth Saraf, Juan Pino, Alexei Baevski, Alexis Conneau, Michael Auli

Proceedings of the Interspeech 2022, 2022

data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language.

Alexei Baevski, Wei-Ning Hsu, Qiantong Xu, Arun Babu, Jiatao Gu, Michael Auli

Proceedings of the International Conference on Machine Learning, 2022

Improved Language Identification Through Cross-Lingual Self-Supervised Learning.

Andros Tjandra, Diptanu Gon Choudhury, Frank Zhang, Kritika Singh, Alexis Conneau, Alexei Baevski, Assaf Sela, Yatharth Saraf, Michael Auli

Proceedings of the IEEE International Conference on Acoustics, 2022

Unified Speech-Text Pre-training for Speech Translation and Recognition.

Yun Tang, Hongyu Gong, Ning Dong, Changhan Wang, Wei-Ning Hsu, Jiatao Gu, Alexei Baevski, Xian Li, Abdelrahman Mohamed, Michael Auli, Juan Miguel Pino

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

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, Vitaliy Liptchinsky, Sergey Edunov, Michael Auli, Armand Joulin

J. Mach. Learn. Res., 2021

Improved Language Identification Through Cross-Lingual Self-Supervised Learning.

Andros Tjandra, Diptanu Gon Choudhury, Frank Zhang, Kritika Singh, Alexei Baevski, Assaf Sela, Yatharth Saraf, Michael Auli

CoRR, 2021

A Comparison of Approaches to Document-level Machine Translation.

Zhiyi Ma, Sergey Edunov, Michael Auli

CoRR, 2021

Unsupervised Speech Recognition.

Alexei Baevski, Wei-Ning Hsu, Alexis Conneau, Michael Auli

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Self-training Improves Pre-training for Natural Language Understanding.

Jingfei Du, Edouard Grave, Beliz Gunel, Vishrav Chaudhary, Onur Celebi, Michael Auli, Veselin Stoyanov, Alexis Conneau

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Large-Scale Self- and Semi-Supervised Learning for Speech Translation.

Changhan Wang, Anne Wu, Juan Pino, Alexei Baevski, Michael Auli, Alexis Conneau

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training.

Wei-Ning Hsu, Anuroop Sriram, Alexei Baevski, Tatiana Likhomanenko, Qiantong Xu, Vineel Pratap, Jacob Kahn, Ann Lee, Ronan Collobert, Gabriel Synnaeve, Michael Auli

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Unsupervised Cross-Lingual Representation Learning for Speech Recognition.

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

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

A Comparison of Discrete Latent Variable Models for Speech Representation Learning.

Henry Zhou, Alexei Baevski, Michael Auli

Proceedings of the IEEE International Conference on Acoustics, 2021

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

Proceedings of the IEEE International Conference on Acoustics, 2021

The Source-Target Domain Mismatch Problem in Machine Translation.

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

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Reservoir Transformers.

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

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Multilingual Speech Translation from Efficient Finetuning of Pretrained Models.

Xian Li, Changhan Wang, Yun Tang, Chau Tran, Yuqing Tang, Juan Miguel Pino, Alexei Baevski, Alexis Conneau, Michael Auli

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Discriminative Reranking for Neural Machine Translation.

Ann Lee, Michael Auli, Marc'Aurelio Ranzato

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Modeling Human Motion with Quaternion-Based Neural Networks.

Dario Pavllo, Christoph Feichtenhofer, Michael Auli, David Grangier

Int. J. Comput. Vis., 2020

Reservoir Transformer.

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

CoRR, 2020

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, Vitaliy Liptchinsky, Sergey Edunov, Edouard Grave, Michael Auli, Armand Joulin

CoRR, 2020

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

Alexei Baevski, Henry Zhou, Abdelrahman Mohamed, Michael Auli

CoRR, 2020

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

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

CoRR, 2020

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

Shruti Bhosale, Kyra Yee, Sergey Edunov, Michael Auli

Proceedings of the Fifth Conference on Machine Translation, 2020

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

Alexei Baevski, Yuhao Zhou, Abdelrahman Mohamed, Michael Auli

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Depth-Adaptive Transformer.

Maha Elbayad, Jiatao Gu, Edouard Grave, Michael Auli

Proceedings of the 8th International Conference on Learning Representations, 2020

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

Alexei Baevski, Steffen Schneider, Michael Auli

Proceedings of the 8th International Conference on Learning Representations, 2020

Robust and On-the-Fly Dataset Denoising for Image Classification.

Jiaming Song, Yann N. Dauphin, Michael Auli, Tengyu Ma

Proceedings of the Computer Vision - ECCV 2020, 2020

On The Evaluation of Machine Translation SystemsTrained With Back-Translation.

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

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Improving Conditioning in Context-Aware Sequence to Sequence Models.

Xinyi Wang, Jason Weston, Michael Auli, Yacine Jernite

CoRR, 2019

Effectiveness of self-supervised pre-training for speech recognition.

Alexei Baevski, Michael Auli, Abdelrahman Mohamed

CoRR, 2019

Simple and Effective Noisy Channel Modeling for Neural Machine Translation.

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

CoRR, 2019

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

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

CoRR, 2019

GLOSS: Generative Latent Optimization of Sentence Representations.

Sidak Pal Singh, Angela Fan, Michael Auli

CoRR, 2019

Facebook FAIR's WMT19 News Translation Task Submission.

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

Proceedings of the Fourth Conference on Machine Translation, 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

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Pre-trained language model representations for language generation.

Sergey Edunov, Alexei Baevski, Michael Auli

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

wav2vec: Unsupervised Pre-Training for Speech Recognition.

Steffen Schneider, Alexei Baevski, Ronan Collobert, Michael Auli

Proceedings of the Interspeech 2019, 2019

Mixture Models for Diverse Machine Translation: Tricks of the Trade.

Tianxiao Shen, Myle Ott, Michael Auli, Marc'Aurelio Ranzato

Proceedings of the 36th International Conference on Machine Learning, 2019

Pay Less Attention with Lightweight and Dynamic Convolutions.

Felix Wu, Angela Fan, Alexei Baevski, Yann N. Dauphin, Michael Auli

Proceedings of the 7th International Conference on Learning Representations, 2019

Wizard of Wikipedia: Knowledge-Powered Conversational Agents.

Emily Dinan, Stephen Roller, Kurt Shuster, Angela Fan, Michael Auli, Jason Weston

Proceedings of the 7th International Conference on Learning Representations, 2019

Adaptive Input Representations for Neural Language Modeling.

Alexei Baevski, Michael Auli

Proceedings of the 7th International Conference on Learning Representations, 2019

Simple and Effective Noisy Channel Modeling for Neural Machine Translation.

Kyra Yee, Yann N. Dauphin, Michael Auli

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Cloze-driven Pretraining of Self-attention Networks.

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

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training.

Dario Pavllo, Christoph Feichtenhofer, David Grangier, Michael Auli

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

ELI5: Long Form Question Answering.

Angela Fan, Yacine Jernite, Ethan Perez, David Grangier, Jason Weston, Michael Auli

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Scaling Neural Machine Translation.

Myle Ott, Sergey Edunov, David Grangier, Michael Auli

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

QuickEdit: Editing Text & Translations by Crossing Words Out.

David Grangier, Michael Auli

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Classical Structured Prediction Losses for Sequence to Sequence Learning.

Sergey Edunov, Myle Ott, Michael Auli, David Grangier, Marc'Aurelio Ranzato

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.

Myle Ott, Michael Auli, David Grangier, Marc'Aurelio Ranzato

Proceedings of the 35th International Conference on Machine Learning, 2018

Understanding Back-Translation at Scale.

Sergey Edunov, Myle Ott, Michael Auli, David Grangier

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

QuaterNet: A Quaternion-based Recurrent Model for Human Motion.

Dario Pavllo, David Grangier, Michael Auli

Proceedings of the British Machine Vision Conference 2018, 2018

Controllable Abstractive Summarization.

Angela Fan, David Grangier, Michael Auli

Proceedings of the 2nd Workshop on Neural Machine Translation and Generation, 2018

2017

QuickEdit: Editing Text & Translations via Simple Delete Actions.

David Grangier, Michael Auli

CoRR, 2017

Convolutional Sequence to Sequence Learning.

Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, Yann N. Dauphin

Proceedings of the 34th International Conference on Machine Learning, 2017

Language Modeling with Gated Convolutional Networks.

Yann N. Dauphin, Angela Fan, Michael Auli, David Grangier

Proceedings of the 34th International Conference on Machine Learning, 2017

A Convolutional Encoder Model for Neural Machine Translation.

Jonas Gehring, Michael Auli, David Grangier, Yann N. Dauphin

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Sequence Level Training with Recurrent Neural Networks.

Marc'Aurelio Ranzato, Sumit Chopra, Michael Auli, Wojciech Zaremba

Proceedings of the 4th International Conference on Learning Representations, 2016

Iterative Refinement for Machine Translation.

Roman Novak, Michael Auli, David Grangier

CoRR, 2016

Generating Text from Structured Data with Application to the Biography Domain.

Rémi Lebret, David Grangier, Michael Auli

CoRR, 2016

Vocabulary Selection Strategies for Neural Machine Translation.

Gurvan L'Hostis, David Grangier, Michael Auli

CoRR, 2016

Neural Network-based Word Alignment through Score Aggregation.

Joël Legrand, Michael Auli, Ronan Collobert

Proceedings of the First Conference on Machine Translation, 2016

Expected F-Measure Training for Shift-Reduce Parsing with Recurrent Neural Networks.

Wenduan Xu, Michael Auli, Stephen Clark

Proceedings of the NAACL HLT 2016, 2016

Abstractive Sentence Summarization with Attentive Recurrent Neural Networks.

Sumit Chopra, Michael Auli, Alexander M. Rush

Proceedings of the NAACL HLT 2016, 2016

Neural Text Generation from Structured Data with Application to the Biography Domain.

Rémi Lebret, David Grangier, Michael Auli

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Strategies for Training Large Vocabulary Neural Language Models.

Wenlin Chen, David Grangier, Michael Auli

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Learning Translation Models from Monolingual Continuous Representations.

Kai Zhao, Hany Hassan, Michael Auli

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

A Neural Network Approach to Context-Sensitive Generation of Conversational Responses.

Alessandro Sordoni, Michel Galley, Michael Auli, Chris Brockett, Yangfeng Ji, Margaret Mitchell, Jian-Yun Nie, Jianfeng Gao, Bill Dolan

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

CCG Supertagging with a Recurrent Neural Network.

Wenduan Xu, Michael Auli, Stephen Clark

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets.

Michel Galley, Chris Brockett, Alessandro Sordoni, Yangfeng Ji, Michael Auli, Chris Quirk, Margaret Mitchell, Jianfeng Gao, Bill Dolan

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

Large-scale Expected BLEU Training of Phrase-based Reordering Models.

Michael Auli, Michel Galley, Jianfeng Gao

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Minimum Translation Modeling with Recurrent Neural Networks.

Yuening Hu, Michael Auli, Qin Gao, Jianfeng Gao

Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

Decoder Integration and Expected BLEU Training for Recurrent Neural Network Language Models.

Michael Auli, Jianfeng Gao

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

Joint Language and Translation Modeling with Recurrent Neural Networks.

Michael Auli, Michel Galley, Chris Quirk, Geoffrey Zweig

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

2011

Training a Log-Linear Parser with Loss Functions via Softmax-Margin.

Michael Auli, Adam Lopez

Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Efficient CCG Parsing: A* versus Adaptive Supertagging.

Michael Auli, Adam Lopez

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

A Comparison of Loopy Belief Propagation and Dual Decomposition for Integrated CCG Supertagging and Parsing.

Michael Auli, Adam Lopez

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2009

A Systematic Analysis of Translation Model Search Spaces.

Michael Auli, Adam Lopez, Hieu Hoang, Philipp Koehn

Proceedings of the Fourth Workshop on Statistical Machine Translation, 2009