EDBT 2026 Demo / reviewers in the wild / expert
Andrew Nystrom
dblp:217/2387
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2023
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 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.
| Databases, data mining, and information retrieval
1 paper |
Data mining · 67% Machine learning and data management · 33% | |
| Artificial intelligence
1 paper |
Efficient and distributed learning · 50% Language models and text generation · 50% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning and data management
active learning |
0.7 | 1 | 2023 | KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals · ICLR 2023 |
Data mining
clustering |
0.7 | 1 | 2023 | KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals · ICLR 2023 |
Data mining › clustering › graph clustering
correlation clustering |
0.7 | 1 | 2023 | KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals · ICLR 2023 |
Machine learning › Efficient and distributed learning › data curation
deduplication |
0.6 | 1 | 2022 | Deduplicating Training Data Makes Language Models Better · ACL (1) 2022 |
Natural language and speech › Language models and text generation
large language model training |
0.6 | 1 | 2022 | Deduplicating Training Data Makes Language Models Better · ACL (1) 2022 |
Methods — techniques the papers use, named apart from their topics
weak supervision · 0.7deduplication · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals
Sandeep Silwal, Sara Ahmadian, Andrew Nystrom, Andrew McCallum, Deepak Ramachandran, Mehran Kazemi |
ICLR | 3 |
| 2022 | Deduplicating Training Data Makes Language Models BetterabstractKatherine Lee, Daphne Ippolito, Andrew Nystrom, Chiyuan Zhang, Douglas Eck, Chris Callison-Burch, Nicholas Carlini. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2022. Katherine Lee, Daphne Ippolito, Andrew Nystrom, Chiyuan Zhang, Douglas Eck, Chris Callison-Burch, Nicholas Carlini |
ACL (1) | 3 |