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VLDB 2026 Research / reviewers in the wild / expert

Kiri Salij

dblp:362/5863 · DBLP profile ↗
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1ranked-venue papers
0as 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 since 2021Graphics, computer vision, multimedia, augmented reality and games · 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
Trustworthy machine learning · 50% Generative modeling · 50%

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

TopicWeightPapersLastEvidence papers
Machine learning › Trustworthy machine learning › fairness › fairness in generative models
bias in generative models		 0.812024
TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models · ECCV (79) 2024
Machine learning › Generative modeling › diffusion model
text-to-image generation		 0.812024
TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models · ECCV (79) 2024
YearPublicationVenuePosition
2024 TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models
Aditya Chinchure, Pushkar Shukla, Gaurav Bhatt, Kiri Salij, Kartik Hosanagar, Leonid Sigal, Matthew Turk 0001
 ECCV (79)4