A Survey of Human-in-the-loop for Machine Learning (2021-08-02T00:00:00.000000Z)

TL;DR

This paper surveys existing works on human-in-the-loop from a data perspective and classify them into three categories with a progressive relationship: the work of improving model performance from data processing, the work through interventional model training, and the design of the system independent human- in- the-loop.

Authors

Xingjiao Wu

1 papers

Luwei Xiao

1 papers

Yixuan Sun

1 papers

Junhang Zhang

1 papers

Tianlong Ma

1 papers

Liangbo He

1 papers

TL;DR

Authors

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