Demo Data from EDBT 2026 / reviewers in the wild / expert
Ted L. Chang
dblp:280/3688
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2021
—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 |
Representation and self-supervised learning · 75% Trustworthy machine learning · 25% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Trustworthy machine learning
interpretability |
0.5 | 1 | 2021 | Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization · ICLR 2021 |
Machine learning › Representation and self-supervised learning
matrix factorization |
0.5 | 1 | 2021 | Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization · ICLR 2021 |
Machine learning › Representation and self-supervised learning › matrix factorization
probabilistic matrix factorization |
0.5 | 1 | 2021 | Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization · ICLR 2021 |
Machine learning › Representation and self-supervised learning › representation learning › unsupervised representation learning
sparse coding |
0.5 | 1 | 2021 | Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization · ICLR 2021 |
Methods — techniques the papers use, named apart from their topics
sparse encoding · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization
Joshua C. Chang, Patrick Fletcher, Jungmin Han, Ted L. Chang, Shashaank Vattikuti, Bart Desmet, Ayah Zirikly, Carson C. Chow |
ICLR | 4 |