Interpretable Active Learning

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Phillips, Richard L.; Chang, Kyu Hyun; Friedler, Sorelle A.;
  • Subject: Statistics - Machine Learning | Computer Science - Machine Learning

Active learning has long been a topic of study in machine learning. However, as increasingly complex and opaque models have become standard practice, the process of active learning, too, has become more opaque. There has been little investigation into interpreting what ... View more
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