Deep Learning Improves Flood Inundation Mapping
A new framework called TabPrep aims to close the feature engineering gap in tabular benchmarks. Progress in tabular machine learning has largely focused on improving models, but this new approach addresses a different aspect of the process.
Topics
Developing
- 882d Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore.
- 882d Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
- 882d Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est.
- 882d Sed ut perspiciatis unde omnis iste natus error sit voluptatem accusantium doloremque laudantium.
Sources · 7 independent
Modernity/arxiv
“TabPrep: Closing the Feature Engineering Gap in Tabular Benchmarks. Authors: Andrej Tschalzev, Nick Erickson, Yuyang Wang, Huzefa Rangwala, Stefan Lüdtke, Heiner Stuckenschmidt, Christian Bartelt Abstract: Progress in tabular machine learning has largely focused on i...”
Unlock the full story
Get a Pro subscription or above to see the live story progression and the full list of independent sources confirming each event as they happen.
Log in to upgrade