176 citations · 382 across the 20 of their papers we have counts for
4 papers · 1 filter
ARDA: Automatic Relational Data Augmentation for Machine Learning
Nadiia Chepurko, Ryan Marcus, Emanuel Zgraggen +3
Automatic machine learning (\AML) is a family of techniques to automate the process of training predictive models, aiming to both improve performance and make machine learning more…
Sherlock: A Deep Learning Approach to Semantic Data Type Detection
Madelon Hulsebos, Kevin Hu, Michiel Bakker +5
Correctly detecting the semantic type of data columns is crucial for data science tasks such as automated data cleaning, schema matching, and data discovery. Existing data preparat…
MLSys: The New Frontier of Machine Learning Systems
Alexander Ratner, Dan Alistarh, Gustavo Alonso +66
Machine learning (ML) techniques are enjoying rapidly increasing adoption. However, designing and implementing the systems that support ML models in real-world deployments remains…
Unknown Examples & Machine Learning Model Generalization
Yeounoh Chung, Peter J. Haas, Eli Upfal +1
Over the past decades, researchers and ML practitioners have come up with better and better ways to build, understand and improve the quality of ML models, but mostly under the key…