VLDB 2026 Research / reviewers in the wild / expert
William Lotter
dblp:172/0822 · also Bill Lotter
· DBLP profile ↗
1ranked-venue papers
1as 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 · 1 first-author
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 · 33% Video understanding and tracking · 33% Learning paradigms · 33% |
Topics — the 3 heaviest of 3, 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
predictive coding networks |
0.3 | 1 | 2017 | Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning · ICLR (Poster) 2017 |
Machine learning › Learning paradigms
unsupervised learning |
0.3 | 1 | 2017 | Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning · ICLR (Poster) 2017 |
Computer vision › Video understanding and tracking
video prediction |
0.3 | 1 | 2017 | Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning · ICLR (Poster) 2017 |
Methods — techniques the papers use, named apart from their topics
predictive coding · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
William Lotter, Gabriel Kreiman, David D. Cox |
ICLR (Poster) | 1 |