VLDB 2026 Research / reviewers in the wild / expert
Kevin D. Pantasdo
dblp:230/3496
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 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 |
Planning, search and constraint satisfaction · 33% Language models and text generation · 33% Deep learning architectures and training · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › heuristic search
incremental domain adaptation |
0.4 | 1 | 2020 | Progressive Memory Banks for Incremental Domain Adaptation · ICLR 2020 |
Natural language and speech › Language models and text generation
memory augmentation |
0.4 | 1 | 2020 | Progressive Memory Banks for Incremental Domain Adaptation · ICLR 2020 |
Machine learning › Deep learning architectures and training › memory mechanism
memory bank |
0.4 | 1 | 2020 | Progressive Memory Banks for Incremental Domain Adaptation · ICLR 2020 |
Methods — techniques the papers use, named apart from their topics
progressive memory banks · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Progressive Memory Banks for Incremental Domain Adaptation
Nabiha Asghar, Lili Mou, Kira A. Selby, Kevin D. Pantasdo, Pascal Poupart, Xin Jiang 0002 |
ICLR | 4 |