Demo Data from EDBT 2026 / reviewers in the wild / expert
Steven Hamblin
dblp:173/9830
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2017
—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 · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Representation and self-supervised learning › word representation › word embedding
bilingual word embedding |
0.3 | 1 | 2017 | Offline bilingual word vectors, orthogonal transformations and the inverted softmax · ICLR (Poster) 2017 |
Machine learning › Representation and self-supervised learning › word representation
cross-lingual word embedding alignment |
0.3 | 1 | 2017 | Offline bilingual word vectors, orthogonal transformations and the inverted softmax · ICLR (Poster) 2017 |
Machine learning › Representation and self-supervised learning › word representation
word embedding |
0.3 | 1 | 2017 | Offline bilingual word vectors, orthogonal transformations and the inverted softmax · ICLR (Poster) 2017 |
Methods — techniques the papers use, named apart from their topics
orthogonal transformation · 0.3inverted softmax · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Offline bilingual word vectors, orthogonal transformations and the inverted softmax
Samuel L. Smith, David H. P. Turban, Steven Hamblin, Nils Y. Hammerla |
ICLR (Poster) | 3 |