VLDB 2026 Research / reviewers in the wild / expert
Noah H. Smith
dblp:78/1466
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1
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 |
Robot navigation and mapping · 50% Representation and self-supervised learning · 50% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Representation and self-supervised learning
internal state inference |
0.1 | 1 | 2006 | Motion-Based Autonomous Grounding: Inferring External World Properties from Encoded Internal Sensory States Alone · AAAI 2006 |
Methods — techniques the papers use, named apart from their topics
motion-based inference · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | Motion-Based Autonomous Grounding: Inferring External World Properties from Encoded Internal Sensory States Alone
Yoonsuck Choe, Noah H. Smith |
AAAI | 2 |