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

Vishal Nedungadi

dblp:377/2767 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2024
0009-0008-3054-7468ORCID · reported

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

Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 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 1 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Representation and self-supervised learning › representation learning › domain-aware representation learning
geospatial representation learning		 0.812024
MMEarth: Exploring Multi-modal Pretext Tasks for Geospatial Representation Learning · ECCV (64) 2024

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

multi-modal pretext tasks · 0.8
YearPublicationVenuePosition
2024 MMEarth: Exploring Multi-modal Pretext Tasks for Geospatial Representation Learning
Vishal Nedungadi, Ankit Kariryaa, Stefan Oehmcke, Serge J. Belongie, Christian Igel, Nico Lang
 ECCV (64)1