Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page
Demo Data from EDBT 2026 / reviewers in the wild / expert

Victor Pellegrain

dblp:304/3017 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021

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
Transfer learning and domain adaptation · 44% Information extraction and text analysis · 44% Representation and self-supervised learning · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Transfer learning and domain adaptation
few-shot learning		 0.712023
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models · EMNLP 2023
Natural language and speech › Information extraction and text analysis › text classification › low-resource text classification
few-shot text classification		 0.712023
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models · EMNLP 2023
Machine learning › Representation and self-supervised learning
embedding models		 0.212023
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models · EMNLP 2023

Methods — techniques the papers use, named apart from their topics

transductive learning · 0.7
YearPublicationVenuePosition
2023 Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models
abstract
Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Myriam Tami, Victor Storchan, Ismail Ayed, Pablo Piantanida. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023.
Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Myriam Tami, Victor Storchan, Ismail Ben Ayed, Pablo Piantanida
 EMNLP2