David Grangier
Impact in
- Artificial Intelligence top 0.2%
- Topic Modeling
- Natural Language Processing Techniques
- Speech Recognition and Synthesis
- Domain Adaptation and Few-Shot Learning
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
Papers in
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- Topic Modeling 22
- Natural Language Processing Techniques 21
- Text and Document Classification Technologies 10
- Speech Recognition and Synthesis 9
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- Multimodal Machine Learning Applications 9
- Advanced Image and Video Retrieval Techniques 9
- Image Retrieval and Classification Techniques 7
- Co-authors
- Michael Auli (10 shared papers)Yann Dauphin (4 shared papers)Myle Ott (2 shared papers)Sergey Edunov (2 shared papers)Angela Fan (2 shared papers)Samy Bengio (13 shared papers)Jonas Gehring (2 shared papers)Alexei Baevski (1 shared paper)
- Journals
- Transactions of the Association for Computational Linguistics (2 papers)Speech Communication (1 paper)Information Retrieval (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Statistical Analysis and Data Mining The ASA Data Science Journal (1 paper)
- Partner nations
- United StatesSwitzerlandIsrael
In The Last Decade
David Grangier
43 papers receiving 4.8k citations
David Grangier's Hit Papers
Peers
Comparison fields: 5 of 119
- Artificial Intelligence 4.2k
- Computer Vision and Pattern Recognition 2.0k
- Signal Processing 652
- Computational Mathematics 8
- Information Systems 306
Countries citing papers authored by David Grangier
This map shows the geographic impact of David Grangier'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 David Grangier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Grangier more than expected).
Fields of papers citing papers by David Grangier
This network shows the impact of papers produced by David Grangier. 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 David Grangier. The network helps show where David Grangier may publish in the future.
Co-authors
The 25 scholars most cited alongside David Grangier, 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 47 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 | 1486 |
| 2 | Convolutional Sequence to Sequence Learning Hit paper breakdown → | 2017 | 712 |
| 3 | Understanding Back-Translation at Scale Hit paper breakdown → | 2018 | 604 |
| 4 | Language modeling with gated convolutional networks Hit paper breakdown → | 2017 | 491 |
| 5 | 2017 | 302 | |
| 6 | 2008 | 263 | |
| 7 | AudioLM: A Language Modeling Approach to Audio Generation Hit paper breakdown → | 2023 | 235 |
| 8 | Label Embedding Trees for Large Multi-Class Tasks | 2010 | 208 |
| 9 | 2021 | 157 | |
| 10 | 2018 | 156 | |
| 11 | 2009 | 94 | |
| 12 | 2008 | 82 | |
| 13 | 2009 | 72 | |
| 14 | 2016 | 47 | |
| 15 | Polynomial Semantic Indexing | 2009 | 37 |
| 16 | 2012 | 31 | |
| 17 | QuaterNet: A Quaternion-based Recurrent Model for Human Motion. | 2018 | 29 |
| 18 | 2019 | 25 | |
| 19 | 2022 | 19 | |
| 20 | 2005 | 15 |
About David Grangier
David Grangier is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Information Systems and Control and Systems Engineering, having authored 47 papers that have together received 5.2k indexed citations. Recurring topics across this work include Topic Modeling (22 papers), Natural Language Processing Techniques (21 papers), Text and Document Classification Technologies (10 papers), Multimodal Machine Learning Applications (9 papers), Speech Recognition and Synthesis (9 papers), Advanced Image and Video Retrieval Techniques (9 papers), Image Retrieval and Classification Techniques (7 papers) and Music and Audio Processing (6 papers). The work is most often cited by research in Artificial Intelligence (4.2k citations), Computer Vision and Pattern Recognition (2.0k citations), Signal Processing (652 citations), Computational Mathematics (8 citations) and Information Systems (306 citations). David Grangier has collaborated with scholars based in United States, Switzerland and Israel. Frequent co-authors include Michael Auli, Yann Dauphin, Myle Ott, Sergey Edunov, Angela Fan, Samy Bengio, Jonas Gehring, Alexei Baevski, Nathan Ng and Sam Gross. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Speech Communication, Information Retrieval, IEEE Transactions on Pattern Analysis and Machine Intelligence and Statistical Analysis and Data Mining The ASA Data Science Journal.
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.