Michael Auli
Impact in
- Artificial Intelligence top 0.05%
- Topic Modeling
- Natural Language Processing Techniques
- Speech Recognition and Synthesis
- Speech and dialogue systems
- Advanced Text Analysis Techniques
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- Multimodal Machine Learning Applications
Papers in
-
- Natural Language Processing Techniques 44
- Topic Modeling 38
- Speech Recognition and Synthesis 23
- Speech and dialogue systems 5
- Neural Networks and Applications 2
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- Multimodal Machine Learning Applications 9
- Co-authors
- David Grangier (10 shared papers)Alexei Baevski (23 shared papers)Sergey Edunov (6 shared papers)Myle Ott (4 shared papers)Yann Dauphin (4 shared papers)Angela Fan (3 shared papers)Sumit Chopra (2 shared papers)Jonas Gehring (2 shared papers)
- Journals
- Journal of Machine Learning Research (1 paper)European Journal of Clinical Investigation (1 paper)Edinburgh Research Explorer (2 papers)arXiv (Cornell University) (6 papers)Edinburgh Research Explorer (University of Edinburgh) (2 papers)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Michael Auli
56 papers receiving 6.1k citations
Michael Auli's Hit Papers
Peers
Comparison fields: 5 of 134
- Artificial Intelligence 5.9k
- Computer Vision and Pattern Recognition 1.9k
- Signal Processing 827
- Health Informatics 29
- Information Systems 321
Countries citing papers authored by Michael Auli
This map shows the geographic impact of Michael Auli's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Auli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Auli more than expected).
Fields of papers citing papers by Michael Auli
This network shows the impact of papers produced by Michael Auli. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Auli. The network helps show where Michael Auli may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Auli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | fairseq: A Fast, Extensible Toolkit for Sequence Modeling Hit paper breakdown → | 2019 | 1381 |
| 2 | Convolutional Sequence to Sequence Learning Hit paper breakdown → | 2017 | 666 |
| 3 | Understanding Back-Translation at Scale Hit paper breakdown → | 2018 | 539 |
| 4 | Abstractive Sentence Summarization with Attentive Recurrent Neural Networks Hit paper breakdown → | 2016 | 505 |
| 5 | Language modeling with gated convolutional networks Hit paper breakdown → | 2017 | 454 |
| 6 | A Neural Network Approach to Context-Sensitive Generation of Conversational Responses Hit paper breakdown → | 2015 | 432 |
| 7 | Sequence Level Training with Recurrent Neural Networks Hit paper breakdown → | 2016 | 308 |
| 8 | 2017 | 267 | |
| 9 | XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale Hit paper breakdown → | 2022 | 266 |
| 10 | 2013 | 168 | |
| 11 | 2019 | 165 | |
| 12 | wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations | 2020 | 155 |
| 13 | 2018 | 147 | |
| 14 | 2019 | 127 | |
| 15 | Wizard of Wikipedia: Knowledge-Powered Conversational Agents | 2018 | 94 |
| 16 | 2021 | 83 | |
| 17 | 2021 | 76 | |
| 18 | 2021 | 75 | |
| 19 | 2019 | 68 | |
| 20 | vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations | 2020 | 57 |
About Michael Auli
Michael Auli is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Information Systems and Management Science and Operations Research, having authored 59 papers that have together received 6.7k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (44 papers), Topic Modeling (38 papers), Speech Recognition and Synthesis (23 papers), Multimodal Machine Learning Applications (9 papers), Music and Audio Processing (6 papers), Speech and dialogue systems (5 papers), Speech and Audio Processing (3 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Artificial Intelligence (5.9k citations), Computer Vision and Pattern Recognition (1.9k citations), Signal Processing (827 citations), Health Informatics (29 citations) and Information Systems (321 citations). Michael Auli has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include David Grangier, Alexei Baevski, Sergey Edunov, Myle Ott, Yann Dauphin, Angela Fan, Sumit Chopra, Jonas Gehring, Nathan Ng and Sam Gross. Their work appears in journals such as Journal of Machine Learning Research, European Journal of Clinical Investigation, Edinburgh Research Explorer, arXiv (Cornell University) and Edinburgh Research Explorer (University of Edinburgh).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.