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Towards Hybrid Human-AI Workflows for Unknown Unknown Detection
WWW '20: The Web Conference 2020 Taipei Taiwan April, 2020, pp.2432-2442, (2020)
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Predictive models are susceptible to errors called unknown unknowns, in which the model assigns incorrect labels to instances with high confidence. These commonly arise when training data does not represent variations of a class encountered at model deployment. Prior work showed that crowd workers can identify instances of unknown unknown...More
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