12 citations · 42 across the 7 of their papers we have counts for
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Ramanathan Subramanian, Romer Rosales, Glenn Fung +1
Given a supervised/semi-supervised learning scenario where multiple annotators are available, we consider the problem of identification of adversarial or unreliable annotators.