One Model to Rule them All: Towards Zero-Shot Learning for Databases
Summary: Propose zero-shot DB components: one transfer-learned model usable on new databases out-of-the-box, avoiding per-database training and allowing few-shot refinement. Demonstrate feasibility for physical cost estimation with promising results and outline challenges and a roadmap to generalize zero-shot to other DB tasks/systems. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Benjamin Hilprecht (Technical University of Darmstadt)
- 2. Carsten Binnig (Technical University of Darmstadt)
BibTeX Citation
@inproceedings{hilprecht_cidr22,
address = {Amsterdam, Netherlands},
series = {{CIDR} '22},
title = {{One Model to Rule them All: Towards Zero-Shot Learning for Databases}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Hilprecht, Benjamin and Binnig, Carsten},
year = {2022}
}
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