Michael Auli
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
65
Venues
12
Active years
2011–2025
Best venue rank
A*
Where they publish
Papers
65 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICASSP | Improving Multilingual ASR in the Wild Using Simple N-best Re-ranking. | Brian Yan, Vineel Pratap, Shinji Watanabe, Michael Auli |
| 2025 | ICASSP | Scaling A Simple Approach to Zero-Shot Speech Recognition. | Jinming Zhao, Vineel Pratap, Michael Auli |
| 2025 | Interspeech | 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 |
| 2023 | ACL | Simple and Effective Unsupervised Speech Translation. | Changhan Wang, Hirofumi Inaguma, Peng-Jen Chen, Ilia Kulikov, Yun Tang, Wei-Ning Hsu, Michael Auli, Juan Pino |
| 2023 | ASRU | Av-Data2Vec: Self-Supervised Learning of Audio-Visual Speech Representations with Contextualized Target Representations. | Jiachen Lian, Alexei Baevski, Wei-Ning Hsu, Michael Auli |
| 2023 | EMNLP | 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 |
| 2023 | ICASSP | Measuring the Impact of Domain Factors in Self-Supervised Pre-Training. | Ramon Sanabria, Wei-Ning Hsu, Alexei Baevski, Michael Auli |
| 2023 | ICML | Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language. | Alexei Baevski, Arun Babu, Wei-Ning Hsu, Michael Auli |
| 2022 | ACL | 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 |
| 2022 | ICASSP | 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 |
| 2022 | ICML | 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 |
| 2022 | Interspeech | 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 |
| 2022 | Interspeech | 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 |
| 2022 | Interspeech | Simple and Effective Unsupervised Speech Synthesis. | Alexander H. Liu, Cheng-I Lai, Wei-Ning Hsu, Michael Auli, Alexei Baevski, James R. Glass |
| 2022 | Interspeech | Wav2Vec-Aug: Improved self-supervised training with limited data. | Anuroop Sriram, Michael Auli, Alexei Baevski |
| 2022 | Interspeech | On-demand compute reduction with stochastic wav2vec 2.0. | Apoorv Vyas, Wei-Ning Hsu, Michael Auli, Alexei Baevski |
| 2022 | Interspeech | Simple and Effective Zero-shot Cross-lingual Phoneme Recognition. | Qiantong Xu, Alexei Baevski, Michael Auli |
| 2021 | ACL | Discriminative Reranking for Neural Machine Translation. | Ann Lee, Michael Auli, Marc'Aurelio Ranzato |
| 2021 | ACL | 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 |
| 2021 | ACL | Reservoir Transformers. | Sheng Shen, Alexei Baevski, Ari S. Morcos, Kurt Keutzer, Michael Auli, Douwe Kiela |
| 2021 | EACL | 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 |
| 2021 | ICASSP | 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 |
| 2021 | ICASSP | A Comparison of Discrete Latent Variable Models for Speech Representation Learning. | Henry Zhou, Alexei Baevski, Michael Auli |
| 2021 | Interspeech | Unsupervised Cross-Lingual Representation Learning for Speech Recognition. | Alexis Conneau, Alexei Baevski, Ronan Collobert, Abdelrahman Mohamed, Michael Auli |
| 2021 | Interspeech | 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 |
| 2021 | Interspeech | Large-Scale Self- and Semi-Supervised Learning for Speech Translation. | Changhan Wang, Anne Wu, Juan Pino, Alexei Baevski, Michael Auli, Alexis Conneau |
| 2021 | NAACL | 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 |
| 2020 | ACL | On The Evaluation of Machine Translation SystemsTrained With Back-Translation. | Sergey Edunov, Myle Ott, Marc'Aurelio Ranzato, Michael Auli |
| 2020 | ECCV | Robust and On-the-Fly Dataset Denoising for Image Classification. | Jiaming Song, Yann N. Dauphin, Michael Auli, Tengyu Ma |
| 2020 | ICLR | vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations. | Alexei Baevski, Steffen Schneider, Michael Auli |
| 2020 | ICLR | Depth-Adaptive Transformer. | Maha Elbayad, Jiatao Gu, Edouard Grave, Michael Auli |
| 2019 | ACL | ELI5: Long Form Question Answering. | Angela Fan, Yacine Jernite, Ethan Perez, David Grangier, Jason Weston, Michael Auli |
| 2019 | CVPR | 3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training. | Dario Pavllo, Christoph Feichtenhofer, David Grangier, Michael Auli |
| 2019 | EMNLP | Cloze-driven Pretraining of Self-attention Networks. | Alexei Baevski, Sergey Edunov, Yinhan Liu, Luke Zettlemoyer, Michael Auli |
| 2019 | EMNLP | Simple and Effective Noisy Channel Modeling for Neural Machine Translation. | Kyra Yee, Yann N. Dauphin, Michael Auli |
| 2019 | ICLR | Adaptive Input Representations for Neural Language Modeling. | Alexei Baevski, Michael Auli |
| 2019 | ICLR | Wizard of Wikipedia: Knowledge-Powered Conversational Agents. | Emily Dinan, Stephen Roller, Kurt Shuster, Angela Fan, Michael Auli, Jason Weston |
| 2019 | ICLR | Pay Less Attention with Lightweight and Dynamic Convolutions. | Felix Wu, Angela Fan, Alexei Baevski, Yann N. Dauphin, Michael Auli |
| 2019 | ICML | Mixture Models for Diverse Machine Translation: Tricks of the Trade. | Tianxiao Shen, Myle Ott, Michael Auli, Marc'Aurelio Ranzato |
| 2019 | Interspeech | wav2vec: Unsupervised Pre-Training for Speech Recognition. | Steffen Schneider, Alexei Baevski, Ronan Collobert, Michael Auli |
| 2019 | NAACL | Pre-trained language model representations for language generation. | Sergey Edunov, Alexei Baevski, Michael Auli |
| 2019 | NAACL | fairseq: A Fast, Extensible Toolkit for Sequence Modeling. | Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, Michael Auli |
| 2018 | BMVC | QuaterNet: A Quaternion-based Recurrent Model for Human Motion. | Dario Pavllo, David Grangier, Michael Auli |
| 2018 | EMNLP | Understanding Back-Translation at Scale. | Sergey Edunov, Myle Ott, Michael Auli, David Grangier |
| 2018 | ICML | Analyzing Uncertainty in Neural Machine Translation. | Myle Ott, Michael Auli, David Grangier, Marc'Aurelio Ranzato |
| 2018 | NAACL | Classical Structured Prediction Losses for Sequence to Sequence Learning. | Sergey Edunov, Myle Ott, Michael Auli, David Grangier, Marc'Aurelio Ranzato |
| 2018 | NAACL | QuickEdit: Editing Text & Translations by Crossing Words Out. | David Grangier, Michael Auli |
| 2017 | ACL | A Convolutional Encoder Model for Neural Machine Translation. | Jonas Gehring, Michael Auli, David Grangier, Yann N. Dauphin |
| 2017 | ICML | Language Modeling with Gated Convolutional Networks. | Yann N. Dauphin, Angela Fan, Michael Auli, David Grangier |
| 2017 | ICML | Convolutional Sequence to Sequence Learning. | Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, Yann N. Dauphin |
| 2016 | ACL | Strategies for Training Large Vocabulary Neural Language Models. | Wenlin Chen, David Grangier, Michael Auli |
| 2016 | EMNLP | Neural Text Generation from Structured Data with Application to the Biography Domain. | Rmi Lebret, David Grangier, Michael Auli |
| 2016 | NAACL | Abstractive Sentence Summarization with Attentive Recurrent Neural Networks. | Sumit Chopra, Michael Auli, Alexander M. Rush |
| 2016 | NAACL | Expected F-Measure Training for Shift-Reduce Parsing with Recurrent Neural Networks. | Wenduan Xu, Michael Auli, Stephen Clark |
| 2015 | ACL | 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 |
| 2015 | ACL | CCG Supertagging with a Recurrent Neural Network. | Wenduan Xu, Michael Auli, Stephen Clark |
| 2015 | NAACL | 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 |
| 2015 | NAACL | Learning Translation Models from Monolingual Continuous Representations. | Kai Zhao, Hany Hassan, Michael Auli |
| 2014 | ACL | Decoder Integration and Expected BLEU Training for Recurrent Neural Network Language Models. | Michael Auli, Jianfeng Gao |
| 2014 | EACL | Minimum Translation Modeling with Recurrent Neural Networks. | Yuening Hu, Michael Auli, Qin Gao, Jianfeng Gao |
| 2014 | EMNLP | Large-scale Expected BLEU Training of Phrase-based Reordering Models. | Michael Auli, Michel Galley, Jianfeng Gao |
| 2013 | EMNLP | Joint Language and Translation Modeling with Recurrent Neural Networks. | Michael Auli, Michel Galley, Chris Quirk, Geoffrey Zweig |
| 2011 | ACL | A Comparison of Loopy Belief Propagation and Dual Decomposition for Integrated CCG Supertagging and Parsing. | Michael Auli, Adam Lopez |
| 2011 | ACL | Efficient CCG Parsing: A* versus Adaptive Supertagging. | Michael Auli, Adam Lopez |
| 2011 | EMNLP | Training a Log-Linear Parser with Loss Functions via Softmax-Margin. | Michael Auli, Adam Lopez |