73 citations · 175 across the 7 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.DB2019★ 73 cited
ZeroER: Entity Resolution using Zero Labeled Examples
Renzhi Wu, Sanya Chaba, Saurabh Sawlani +2
Entity resolution (ER) refers to the problem of matching records in one or more relations that refer to the same real-world entity. While supervised machine learning (ML) approache…
cs.DB2019★ 7 cited
CleanML: A Study for Evaluating the Impact of Data Cleaning on ML Classification Tasks
Peng Li, Xi Rao, Jennifer Blase +3
Data quality affects machine learning (ML) model performances, and data scientists spend considerable amount of time on data cleaning before model training. However, to date, there…
cs.CV2019★ 22 cited
GOGGLES: Automatic Image Labeling with Affinity Coding
Nilaksh Das, Sanya Chaba, Renzhi Wu +3
Generating large labeled training data is becoming the biggest bottleneck in building and deploying supervised machine learning models. Recently, the data programming paradigm has…