Demo Data from VLDB 2026 / reviewers in the wild / expert
Arnav Sudan
dblp:384/6404
· DBLP profile ↗
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 · 77% Generative modeling · 23% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Trustworthy machine learning › fairness › fairness in generative models
bias in generative models |
0.8 | 1 | 2024 | Navigating Text-to-Image Generative Bias Across Indic Languages · ECCV (88) 2024 |
Machine learning › Generative modeling › diffusion model
text-to-image generation |
0.2 | 1 | 2024 | Navigating Text-to-Image Generative Bias Across Indic Languages · ECCV (88) 2024 |
Methods — techniques the papers use, named apart from their topics
bias evaluation · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Navigating Text-to-Image Generative Bias Across Indic Languages
Surbhi Mittal, Arnav Sudan, Mayank Vatsa, Richa Singh 0001, Tamar Glaser, Tal Hassner |
ECCV (88) | 2 |