A Systematic Analysis of Translation Model Search Spaces. - Michael Auli; Adam Lopez; Hieu Hoang; Philipp Koehn (WMT@EACL, 2009)

A Comparison of Loopy Belief Propagation and Dual Decomposition for Integrated CCG Supertagging and Parsing. - Michael Auli; Adam Lopez (ACL, 2011)

Efficient CCG Parsing: A* versus Adaptive Supertagging. - Michael Auli; Adam Lopez (ACL, 2011)

Training a Log-Linear Parser with Loss Functions via Softmax-Margin. - Michael Auli; Adam Lopez (EMNLP, 2011)

Joint Language and Translation Modeling with Recurrent Neural Networks. - Michael Auli; Michel Galley; Chris Quirk; Geoffrey Zweig (EMNLP, 2013)

Decoder Integration and Expected BLEU Training for Recurrent Neural Network Language Models. - Michael Auli; Jianfeng Gao 001 (ACL (2), 2014)

Minimum Translation Modeling with Recurrent Neural Networks. - Yuening Hu; Michael Auli; Qin Gao; Jianfeng Gao 001 (EACL, 2014)

Large-scale Expected BLEU Training of Phrase-based Reordering Models. - Michael Auli; Michel Galley; Jianfeng Gao 001 (EMNLP, 2014)

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 001; Bill Dolan (ACL (2), 2015)

CCG Supertagging with a Recurrent Neural Network. - Wenduan Xu; Michael Auli; Stephen Clark (ACL (2), 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 001; Bill Dolan (HLT-NAACL, 2015)

Learning Translation Models from Monolingual Continuous Representations. - Kai Zhao; Hany Hassan; Michael Auli (HLT-NAACL, 2015)

Strategies for Training Large Vocabulary Neural Language Models. - Wenlin Chen; David Grangier; Michael Auli (ACL (1), 2016)

Neural Text Generation from Structured Data with Application to the Biography Domain. - Rémi Lebret; David Grangier; Michael Auli (EMNLP, 2016)

Abstractive Sentence Summarization with Attentive Recurrent Neural Networks. - Sumit Chopra; Michael Auli; Alexander M. Rush (HLT-NAACL, 2016)

Expected F-Measure Training for Shift-Reduce Parsing with Recurrent Neural Networks. - Wenduan Xu; Michael Auli; Stephen Clark (HLT-NAACL, 2016)

Neural Network-based Word Alignment through Score Aggregation. - Joël Legrand; Michael Auli; Ronan Collobert (WMT, 2016)

Vocabulary Selection Strategies for Neural Machine Translation. - Gurvan L'Hostis; David Grangier; Michael Auli (CoRR, 2016)

Generating Text from Structured Data with Application to the Biography Domain. - Rémi Lebret; David Grangier; Michael Auli (CoRR, 2016)

Iterative Refinement for Machine Translation. - Roman Novak; Michael Auli; David Grangier (CoRR, 2016)

Sequence Level Training with Recurrent Neural Networks. - Marc'Aurelio Ranzato; Sumit Chopra; Michael Auli; Wojciech Zaremba (ICLR (Poster), 2016)

A Convolutional Encoder Model for Neural Machine Translation. - Jonas Gehring; Michael Auli; David Grangier; Yann N. Dauphin (ACL (1), 2017)

Language Modeling with Gated Convolutional Networks. - Yann N. Dauphin; Angela Fan; Michael Auli; David Grangier (ICML, 2017)

Convolutional Sequence to Sequence Learning. - Jonas Gehring; Michael Auli; David Grangier; Denis Yarats; Yann N. Dauphin (ICML, 2017)

QuickEdit: Editing Text & Translations via Simple Delete Actions. - David Grangier; Michael Auli (CoRR, 2017)

Controllable Abstractive Summarization. - Angela Fan; David Grangier; Michael Auli (NMT@ACL, 2018)

QuaterNet: A Quaternion-based Recurrent Model for Human Motion. - Dario Pavllo; David Grangier; Michael Auli (BMVC, 2018)

Understanding Back-Translation at Scale. - Sergey Edunov; Myle Ott; Michael Auli; David Grangier (EMNLP, 2018)

Analyzing Uncertainty in Neural Machine Translation. - Myle Ott; Michael Auli; David Grangier; Marc'Aurelio Ranzato (ICML, 2018)

Classical Structured Prediction Losses for Sequence to Sequence Learning. - Sergey Edunov; Myle Ott; Michael Auli; David Grangier; Marc'Aurelio Ranzato (NAACL-HLT, 2018)

QuickEdit: Editing Text & Translations by Crossing Words Out. - David Grangier; Michael Auli (NAACL-HLT, 2018)

Scaling Neural Machine Translation. - Myle Ott; Sergey Edunov; David Grangier; Michael Auli (WMT, 2018)

ELI5: Long Form Question Answering. - Angela Fan; Yacine Jernite; Ethan Perez; David Grangier; Jason Weston; Michael Auli (ACL (1), 2019)

3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training. - Dario Pavllo; Christoph Feichtenhofer; David Grangier; Michael Auli (CVPR, 2019)

Cloze-driven Pretraining of Self-attention Networks. - Alexei Baevski; Sergey Edunov; Yinhan Liu; Luke Zettlemoyer; Michael Auli (EMNLP/IJCNLP (1), 2019)

Simple and Effective Noisy Channel Modeling for Neural Machine Translation. - Kyra Yee; Yann N. Dauphin; Michael Auli (EMNLP/IJCNLP (1), 2019)

Adaptive Input Representations for Neural Language Modeling. - Alexei Baevski; Michael Auli (ICLR (Poster), 2019)

Wizard of Wikipedia: Knowledge-Powered Conversational Agents. - Emily Dinan; Stephen Roller; Kurt Shuster 001; Angela Fan; Michael Auli; Jason Weston (ICLR (Poster), 2019)

Pay Less Attention with Lightweight and Dynamic Convolutions. - Felix Wu; Angela Fan; Alexei Baevski; Yann N. Dauphin; Michael Auli (ICLR, 2019)

Mixture Models for Diverse Machine Translation: Tricks of the Trade. - Tianxiao Shen; Myle Ott; Michael Auli; Marc'Aurelio Ranzato (ICML, 2019)

wav2vec: Unsupervised Pre-Training for Speech Recognition. - Steffen Schneider 001; Alexei Baevski; Ronan Collobert; Michael Auli (INTERSPEECH, 2019)

Pre-trained language model representations for language generation. - Sergey Edunov; Alexei Baevski; Michael Auli (NAACL-HLT (1), 2019)

fairseq: A Fast, Extensible Toolkit for Sequence Modeling. - Myle Ott; Sergey Edunov; Alexei Baevski; Angela Fan; Sam Gross; Nathan Ng 001; David Grangier; Michael Auli (NAACL-HLT (Demonstrations), 2019)

Facebook FAIR's WMT19 News Translation Task Submission. - Nathan Ng 001; Kyra Yee; Alexei Baevski; Myle Ott; Michael Auli; Sergey Edunov (WMT (2), 2019)

GLOSS: Generative Latent Optimization of Sentence Representations. - Sidak Pal Singh; Angela Fan; 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)

Simple and Effective Noisy Channel Modeling for Neural Machine Translation. - Kyra Yee; Nathan Ng 001; Yann N. Dauphin; Michael Auli (CoRR, 2019)

Effectiveness of self-supervised pre-training for speech recognition. - Alexei Baevski; Michael Auli; Abdelrahman Mohamed (CoRR, 2019)

Improving Conditioning in Context-Aware Sequence to Sequence Models. - Xinyi Wang 001; Jason Weston; Michael Auli; Yacine Jernite (CoRR, 2019)

On The Evaluation of Machine Translation SystemsTrained With Back-Translation. - Sergey Edunov; Myle Ott; Marc'Aurelio Ranzato; Michael Auli (ACL, 2020)

Robust and On-the-Fly Dataset Denoising for Image Classification. - Jiaming Song; Yann N. Dauphin; Michael Auli; Tengyu Ma 001 (ECCV (29), 2020)

vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations. - Alexei Baevski; Steffen Schneider 001; Michael Auli (ICLR, 2020)

Depth-Adaptive Transformer. - Maha Elbayad; Jiatao Gu; Edouard Grave; Michael Auli (ICLR, 2020)

wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations. - Alexei Baevski; Yuhao Zhou; Abdelrahman Mohamed; Michael Auli (NeurIPS, 2020)

Language Models not just for Pre-training: Fast Online Neural Noisy Channel Modeling. - Shruti Bhosale; Kyra Yee; Sergey Edunov; Michael Auli (WMT@EMNLP, 2020)

Robust and On-the-fly Dataset Denoising for Image Classification. - Jiaming Song; Lunjia Hu; Yann N. Dauphin; Michael Auli; Tengyu Ma 001 (CoRR, 2020)

wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations. - Alexei Baevski; Henry Zhou; Abdelrahman Mohamed; Michael Auli (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 001; Tom Birch; et al. (CoRR, 2020)

Reservoir Transformer. - Sheng Shen 001; Alexei Baevski; Ari S. Morcos; Kurt Keutzer; Michael Auli; Douwe Kiela (CoRR, 2020)

Modeling Human Motion with Quaternion-Based Neural Networks. - Dario Pavllo; Christoph Feichtenhofer; Michael Auli; David Grangier (Int. J. Comput. Vis., 2020)

Discriminative Reranking for Neural Machine Translation. - Ann Lee 001; Michael Auli; Marc'Aurelio Ranzato (ACL/IJCNLP (1), 2021)

Multilingual Speech Translation from Efficient Finetuning of Pretrained Models. - Xian Li 003; Changhan Wang; Yun Tang 002; Chau Tran; Yuqing Tang; Juan Miguel Pino; Alexei Baevski; Alexis Conneau; Michael Auli (ACL/IJCNLP (1), 2021)

Reservoir Transformers. - Sheng Shen 001; Alexei Baevski; Ari S. Morcos; Kurt Keutzer; Michael Auli; Douwe Kiela (ACL/IJCNLP (1), 2021)

The Source-Target Domain Mismatch Problem in Machine Translation. - Jiajun Shen; Peng-Jen Chen; Matt Le 001; Junxian He; Jiatao Gu; Myle Ott; Michael Auli; Marc'Aurelio Ranzato (EACL, 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 (ICASSP, 2021)

A Comparison of Discrete Latent Variable Models for Speech Representation Learning. - Henry Zhou; Alexei Baevski; Michael Auli (ICASSP, 2021)

Unsupervised Cross-Lingual Representation Learning for Speech Recognition. - Alexis Conneau; Alexei Baevski; Ronan Collobert; Abdelrahman Mohamed; Michael Auli (Interspeech, 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 001; Ronan Collobert; Gabriel Synnaeve; Michael Auli (Interspeech, 2021)

Large-Scale Self- and Semi-Supervised Learning for Speech Translation. - Changhan Wang; Anne Wu; Juan Pino 001; Alexei Baevski; Michael Auli; Alexis Conneau (Interspeech, 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 (NAACL-HLT, 2021)

Unsupervised Speech Recognition. - Alexei Baevski; Wei-Ning Hsu; Alexis Conneau; Michael Auli (NeurIPS, 2021)

A Comparison of Approaches to Document-level Machine Translation. - Zhiyi Ma; Sergey Edunov; Michael Auli (CoRR, 2021)

Improved Language Identification Through Cross-Lingual Self-Supervised Learning. - Andros Tjandra; Diptanu Gon Choudhury; Frank Zhang 001; Kritika Singh; Alexei Baevski; Assaf Sela; Yatharth Saraf; Michael Auli (CoRR, 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 001; Tom Birch; et al. (J. Mach. Learn. Res., 2021)

Unified Speech-Text Pre-training for Speech Translation and Recognition. - Yun Tang 002; Hongyu Gong; Ning Dong; Changhan Wang; Wei-Ning Hsu; Jiatao Gu; Alexei Baevski; Xian Li 003; Abdelrahman Mohamed; Michael Auli; Juan Miguel Pino (ACL (1), 2022)

Improved Language Identification Through Cross-Lingual Self-Supervised Learning. - Andros Tjandra; Diptanu Gon Choudhury; Frank Zhang 001; Kritika Singh; Alexis Conneau; Alexei Baevski; Assaf Sela; Yatharth Saraf; Michael Auli (ICASSP, 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 (ICML, 2022)

XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale. - Arun Babu; Changhan Wang; Andros Tjandra; Kushal Lakhotia; Qiantong Xu; Naman Goyal 001; Kritika Singh; Patrick von Platen; Yatharth Saraf; Juan Pino 001; Alexei Baevski; Alexis Conneau; et al. (INTERSPEECH, 2022)

XTREME-S: Evaluating Cross-lingual Speech Representations. - Alexis Conneau; Ankur Bapna; Yu Zhang 033; Min Ma; Patrick von Platen; Anton Lozhkov; Colin Cherry; Ye Jia; Clara Rivera; Mihir Kale; Daan van Esch; Vera Axelrod; et al. (INTERSPEECH, 2022)

Simple and Effective Unsupervised Speech Synthesis. - Alexander H. Liu; Cheng-I Lai; Wei-Ning Hsu; Michael Auli; Alexei Baevski; James R. Glass (INTERSPEECH, 2022)

Wav2Vec-Aug: Improved self-supervised training with limited data. - Anuroop Sriram; Michael Auli; Alexei Baevski (INTERSPEECH, 2022)

On-demand compute reduction with stochastic wav2vec 2.0. - Apoorv Vyas; Wei-Ning Hsu; Michael Auli; Alexei Baevski (INTERSPEECH, 2022)

Simple and Effective Zero-shot Cross-lingual Phoneme Recognition. - Qiantong Xu; Alexei Baevski; Michael Auli (INTERSPEECH, 2022)

Masked Autoencoders that Listen. - Po-Yao Huang 001; Hu Xu 001; Juncheng Li 001; Alexei Baevski; Michael Auli; Wojciech Galuba; Florian Metze; Christoph Feichtenhofer (NeurIPS, 2022)

Towards End-to-End Unsupervised Speech Recognition. - Alexander H. Liu; Wei-Ning Hsu; Michael Auli; Alexei Baevski (SLT, 2022)

Measuring the Impact of Individual Domain Factors in Self-Supervised Pre-Training. - Ramon Sanabria; Wei-Ning Hsu; Alexei Baevski; Michael Auli (CoRR, 2022)

Simple and Effective Unsupervised Speech Translation. - Changhan Wang; Hirofumi Inaguma; Peng-Jen Chen; Ilia Kulikov; Yun Tang 002; Wei-Ning Hsu; Michael Auli; Juan Pino 001 (ACL (1), 2023)

Av-Data2Vec: Self-Supervised Learning of Audio-Visual Speech Representations with Contextualized Target Representations. - Jiachen Lian; Alexei Baevski; Wei-Ning Hsu; Michael Auli (ASRU, 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 (EMNLP (Findings), 2023)

Measuring the Impact of Domain Factors in Self-Supervised Pre-Training. - Ramon Sanabria; Wei-Ning Hsu; Alexei Baevski; Michael Auli (ICASSP Workshops, 2023)

Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language. - Alexei Baevski; Arun Babu; Wei-Ning Hsu; Michael Auli (ICML, 2023)

DinoSR: Self-Distillation and Online Clustering for Self-supervised Speech Representation Learning. - Alexander H. Liu; Heng-Jui Chang; Michael Auli; Wei-Ning Hsu; James R. Glass (NeurIPS, 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; et al. (J. Mach. Learn. Res., 2024)

Improving Multilingual ASR in the Wild Using Simple N-best Re-ranking. - Brian Yan; Vineel Pratap; Shinji Watanabe 001; Michael Auli (ICASSP, 2025)

Scaling A Simple Approach to Zero-Shot Speech Recognition. - Jinming Zhao; Vineel Pratap; Michael Auli (ICASSP, 2025)

Effects of Speaker Count, Duration, and Accent Diversity on Zero-Shot Accent Robustness in Low-Resource ASR. - Zheng-Xin Yong; Vineel Pratap; Michael Auli; Jean Maillard (CoRR, 2025)