EDBT 2026 Demo / reviewers in the wild / expert
Sylvain Gugger
dblp:248/8258
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Language models and text generation · 50% Efficient and distributed learning · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Language models and text generation › large language model fine-tuning
multilingual fine-tuning |
0.4 | 1 | 2019 | MultiFiT: Efficient Multi-lingual Language Model Fine-tuning · EMNLP/IJCNLP (1) 2019 |
Machine learning › Efficient and distributed learning
parameter-efficient fine-tuning |
0.4 | 1 | 2019 | MultiFiT: Efficient Multi-lingual Language Model Fine-tuning · EMNLP/IJCNLP (1) 2019 |
Methods — techniques the papers use, named apart from their topics
multilingual transfer · 0.4fine-tuning · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | MultiFiT: Efficient Multi-lingual Language Model Fine-tuningabstractJulian Eisenschlos, Sebastian Ruder, Piotr Czapla, Marcin Kadras, Sylvain Gugger, Jeremy Howard. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019. Julian Martin Eisenschlos, Sebastian Ruder, Piotr Czapla, Marcin Kardas, Sylvain Gugger, Jeremy Howard |
EMNLP/IJCNLP (1) | 5 |