Samuel Humeau
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition
- Human-Computer Interaction top 10%
- Information Systems
- Sociology and Political Science
- Co-authors
- Antoine BordesKurt ShusterJason WestonPierre-Emmanuel MazaréMarie-Anne LachauxÉric Villemonte de la ClergerieBenoît SagotRobert L. Logan
- Topics
- Natural Language Processing Techniques (5 papers)Topic Modeling (5 papers)Speech and dialogue systems (2 papers)
- Journals
- arXiv (Cornell University)International Conference on Learning Representations
- Partner nations
- IsraelSwitzerlandFrance
In The Last Decade
Samuel Humeau
6 papers receiving 209 citations
Peers
Comparison fields: 5 of 25
- Artificial Intelligence 216
- Computer Vision and Pattern Recognition 52
- Human-Computer Interaction 25
- Information Systems 21
- Sociology and Political Science 8
Countries citing papers authored by Samuel Humeau
This map shows the geographic impact of Samuel Humeau'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 Samuel Humeau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Humeau more than expected).
Fields of papers citing papers by Samuel Humeau
This network shows the impact of papers produced by Samuel Humeau. 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 Samuel Humeau. The network helps show where Samuel Humeau may publish in the future.
Co-authorship network of co-authors of Samuel Humeau
This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Humeau. A scholar is included among the top collaborators of Samuel Humeau based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Samuel Humeau. Samuel Humeau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Poly-encoders: Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring | 95 |
| 2 | Real-time Inference in Multi-sentence Tasks with Deep Pretrained Transformers. | 9 |
| 3 | Engaging Image Chat: Modeling Personality in Grounded Dialogue. | 7 |
| 4 | 104 | |
| 5 | 8 | |
| 6 | Multimodal Attribute Extraction. | 1 |
About Samuel Humeau
Samuel Humeau is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, having authored 6 papers that have together received 224 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (5 papers), Topic Modeling (5 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Artificial Intelligence (216 citations), Human-Computer Interaction (25 citations) and Computer Vision and Pattern Recognition (52 citations). Samuel Humeau has collaborated with scholars based in Israel, Switzerland and France. Frequent co-authors include Antoine Bordes, Kurt Shuster, Jason Weston, Pierre-Emmanuel Mazaré, Marie-Anne Lachaux, Éric Villemonte de la Clergerie, Benoît Sagot, Robert L. Logan and Sameer Singh. Their work appears in journals such as arXiv (Cornell University) and International Conference on Learning Representations.
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.