Demo Data from VLDB 2026 / reviewers in the wild / expert
Ron Vainshtein
dblp:336/9090
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
—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 |
Efficient and distributed learning · 50% Representation and self-supervised learning · 25% 3D vision · 25% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › 3D vision
implicit neural representation |
0.7 | 1 | 2023 | NeRN: Learning Neural Representations for Neural Networks · ICLR 2023 |
Machine learning › Efficient and distributed learning
model compression |
0.7 | 1 | 2023 | NeRN: Learning Neural Representations for Neural Networks · ICLR 2023 |
Machine learning › Representation and self-supervised learning › representation learning
neural network representation learning |
0.7 | 1 | 2023 | NeRN: Learning Neural Representations for Neural Networks · ICLR 2023 |
Machine learning › Efficient and distributed learning › model compression
weight encoding |
0.7 | 1 | 2023 | NeRN: Learning Neural Representations for Neural Networks · ICLR 2023 |
Methods — techniques the papers use, named apart from their topics
neural representation learning · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | NeRN: Learning Neural Representations for Neural Networks
Maor Ashkenazi, Zohar Rimon, Ron Vainshtein, Shir Levi, Elad Richardson, Pinchas Mintz, Eran Treister |
ICLR | 3 |