Too much automation? The bellwether effect and its implications for transfer learning

Abstract

Transfer learning: is the process of translating quality predictors learned in one data set to another. Transfer learning has been the subject of much recent research. In practice, that research means changing models all the time as transfer learners continually exchange new models to the current project. This paper offers a very simple bellwether transfer… (More)
DOI: 10.1145/2970276.2970339

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Citations per Year

Citation Velocity: 37

Averaging 37 citations per year over the last 2 years.

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