Proxy Labels

Proxy labels in machine learning are surrogate labels used when actual labels are not available or hard to obtain. They are derived from available data and are used as stand-ins for the true labels during the training of a model.

Application of Proxy Labels

Proxy labels are particularly useful in semi-supervised learning and in situations where labeling data is expensive or impractical. While they may not perfectly represent the true labels, they can still provide valuable information for training models.