Demo Data from EDBT 2026 / reviewers in the wild / expert
Dinan Lin
dblp:326/7291
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 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 |
Deep learning architectures and training · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Deep learning architectures and training › biologically plausible learning › feedback alignment
backpropagation alternative |
0.6 | 1 | 2022 | Associated Learning: an Alternative to End-to-End Backpropagation that Works on CNN, RNN, and Transformer · ICLR 2022 |
Methods — techniques the papers use, named apart from their topics
associated learning · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Associated Learning: an Alternative to End-to-End Backpropagation that Works on CNN, RNN, and Transformer
Dennis Y. H. Wu, Dinan Lin, Hung-Hsuan Chen |
ICLR | 2 |