Demo Data from VLDB 2026 / reviewers in the wild / expert
Matthew Chin
dblp:255/7517
· 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 |
Representation and self-supervised learning · 33% Deep learning architectures and training · 33% Optimization for machine learning · 33% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Representation and self-supervised learning › representation learning
emergent representations |
0.4 | 1 | 2020 | Emergence of functional and structural properties of the head direction system by optimization of recurrent neural networks · ICLR 2020 |
Machine learning › Optimization for machine learning
optimization |
0.4 | 1 | 2020 | Emergence of functional and structural properties of the head direction system by optimization of recurrent neural networks · ICLR 2020 |
Machine learning › Deep learning architectures and training
recurrent neural network |
0.4 | 1 | 2020 | Emergence of functional and structural properties of the head direction system by optimization of recurrent neural networks · ICLR 2020 |
Methods — techniques the papers use, named apart from their topics
recurrent neural network · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Emergence of functional and structural properties of the head direction system by optimization of recurrent neural networks
Christopher J. Cueva, Peter Y. Wang, Matthew Chin, Xue-Xin Wei |
ICLR | 3 |