Alexei Baevski
Impact in
- Artificial Intelligence top 0.5%
- Natural Language Processing Techniques
- Topic Modeling
- Speech Recognition and Synthesis
- Speech and dialogue systems
- Text Readability and Simplification
- Signal Processing top 1%
- Music and Audio Processing
- Speech and Audio Processing
Papers in
-
- Speech Recognition and Synthesis 16
- Natural Language Processing Techniques 14
- Topic Modeling 9
- Neural Networks and Applications 2
- Neural Networks and Reservoir Computing 2
-
- Music and Audio Processing 7
- Speech and Audio Processing 3
- Co-authors
- Michael Auli (23 shared papers)Sergey Edunov (3 shared papers)Myle Ott (2 shared papers)Nathan Ng (2 shared papers)Angela Fan (2 shared papers)Sam Gross (1 shared paper)David Grangier (1 shared paper)Abdelrahman Mohamed (2 shared papers)
- Journals
- Transactions of the Association for Computational Linguistics (1 paper)ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (1 paper)Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (1 paper)Interspeech 2022 (5 papers)arXiv (Cornell University) (3 papers)
- Partner nations
- IsraelUnited StatesTaiwan
In The Last Decade
Alexei Baevski
25 papers receiving 2.4k citations
Alexei Baevski's Hit Papers
Peers
Comparison fields: 5 of 93
- Artificial Intelligence 2.4k
- Signal Processing 572
- Computer Vision and Pattern Recognition 654
- Health Informatics 12
- Computational Mathematics 4
Countries citing papers authored by Alexei Baevski
This map shows the geographic impact of Alexei Baevski'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 Alexei Baevski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexei Baevski more than expected).
Fields of papers citing papers by Alexei Baevski
This network shows the impact of papers produced by Alexei Baevski. 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 Alexei Baevski. The network helps show where Alexei Baevski may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexei Baevski, 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 26 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 | XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale Hit paper breakdown → | 2022 | 266 |
| 3 | 2019 | 165 | |
| 4 | wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations | 2020 | 155 |
| 5 | 2019 | 127 | |
| 6 | 2021 | 83 | |
| 7 | 2021 | 76 | |
| 8 | 2019 | 68 | |
| 9 | 2020 | 58 | |
| 10 | vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations | 2020 | 57 |
| 11 | 2022 | 53 | |
| 12 | 2022 | 31 | |
| 13 | 2023 | 30 | |
| 14 | 2022 | 25 | |
| 15 | 2023 | 15 | |
| 16 | 2021 | 12 | |
| 17 | 2021 | 10 | |
| 18 | 2022 | 10 | |
| 19 | 2022 | 9 | |
| 20 | 2021 | 7 |
About Alexei Baevski
Alexei Baevski is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Management Science and Operations Research and Experimental and Cognitive Psychology, having authored 26 papers that have together received 2.7k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (16 papers), Natural Language Processing Techniques (14 papers), Topic Modeling (9 papers), Music and Audio Processing (7 papers), Speech and Audio Processing (3 papers), Multimodal Machine Learning Applications (2 papers), Neural Networks and Applications (2 papers) and Neural Networks and Reservoir Computing (2 papers). The work is most often cited by research in Artificial Intelligence (2.4k citations), Signal Processing (572 citations), Computer Vision and Pattern Recognition (654 citations), Health Informatics (12 citations) and Computational Mathematics (4 citations). Alexei Baevski has collaborated with scholars based in Israel, United States and Taiwan. Frequent co-authors include Michael Auli, Sergey Edunov, Myle Ott, Nathan Ng, Angela Fan, Sam Gross, David Grangier, Abdelrahman Mohamed, Alexis Conneau and Qiantong Xu. Their work appears in journals such as Transactions of the Association for Computational Linguistics, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Interspeech 2022 and arXiv (Cornell University).
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.