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Demo Data from VLDB 2026 / reviewers in the wild / expert

Justus-Jonas Erker

dblp:333/2488 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2024
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-author · 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
Representation and self-supervised learning · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Representation and self-supervised learning › text embedding
sentence embedding		 0.812024
Triple-Encoders: Representations That Fire Together, Wire Together · ACL (1) 2024
Machine learning › Representation and self-supervised learning
contrastive learning		 0.212024
Triple-Encoders: Representations That Fire Together, Wire Together · ACL (1) 2024
YearPublicationVenuePosition
2024 Triple-Encoders: Representations That Fire Together, Wire Together
abstract
Justus-Jonas Erker, Florian Mai, Nils Reimers, Gerasimos Spanakis, Iryna Gurevych. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2024.
Justus-Jonas Erker, Florian Mai, Nils Reimers 0001, Gerasimos Spanakis, Iryna Gurevych
 ACL (1)1