Demo Data from EDBT 2026 / reviewers in the wild / expert
Takafumi Horie
dblp:350/4475
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
—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 |
Transfer learning and domain adaptation · 67% Efficient and distributed 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 › Efficient and distributed learning
model merging |
0.9 | 1 | 2025 | Mastering Task Arithmetic: τJp as a Key Indicator for Weight Disentanglement · ICLR 2025 |
Machine learning › Transfer learning and domain adaptation › parameter-based transfer learning
task arithmetic |
0.9 | 1 | 2025 | Mastering Task Arithmetic: τJp as a Key Indicator for Weight Disentanglement · ICLR 2025 |
Machine learning › Transfer learning and domain adaptation
weight disentanglement |
0.9 | 1 | 2025 | Mastering Task Arithmetic: τJp as a Key Indicator for Weight Disentanglement · ICLR 2025 |
Methods — techniques the papers use, named apart from their topics
task arithmetic · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Mastering Task Arithmetic: τJp as a Key Indicator for Weight Disentanglement
Kotaro Yoshida, Yuji Naraki, Takafumi Horie, Ryosuke Yamaki, Ryotaro Shimizu, Yuki Saito 0002, Julian J. McAuley, Hiroki Naganuma |
ICLR | 3 |