Learning from Crowds with Sparse and Imbalanced Annotations

Ye Shi, Shao-Yuan Li, Sheng-Jun Huang

Traditional supervised learning requires ground truth labels for the training data, whose collection can be difficult in many cases. Recently, crowdsourcing has established itself…