Early Learning, Data Science, Noisy Labels.
early stages of the algorithm. This approach holds two principal elements. The first leverages “semi-supervised learning techniques to produce target probabilities based on the model outputs.” [2] The second designs a regularizer that directs the model towards these targets, preventing the