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

Pavitra Dangati

dblp:286/8608 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
—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 · 77% Representation and self-supervised learning · 23%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Learning paradigms
multi-label classification		 0.612022
Modeling Label Space Interactions in Multi-label Classification using Box Embeddings · ICLR 2022
Machine learning › Representation and self-supervised learning › representation learning › embedding learning › geometric embedding
box embedding		 0.212022
Modeling Label Space Interactions in Multi-label Classification using Box Embeddings · ICLR 2022

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

box embedding · 0.6
YearPublicationVenuePosition
2022 Modeling Label Space Interactions in Multi-label Classification using Box Embeddings
Dhruvesh Patel, Pavitra Dangati, Jay-Yoon Lee, Michael Boratko, Andrew McCallum
 ICLR2