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

Sunguk Jang

dblp:345/2141 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · none

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
Learning paradigms · 50% Representation and self-supervised learning · 50%

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

TopicWeightPapersLastEvidence papers
Machine learning › Learning paradigms
long-tailed recognition		 0.712023
Decoupled Training for Long-Tailed Classification With Stochastic Representations · ICLR 2023
Machine learning › Representation and self-supervised learning
random representations		 0.712023
Decoupled Training for Long-Tailed Classification With Stochastic Representations · ICLR 2023

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

decoupled training · 0.7
YearPublicationVenuePosition
2023 Decoupled Training for Long-Tailed Classification With Stochastic Representations
Giung Nam, Sunguk Jang, Juho Lee 0001
 ICLR2