Label Shift Estimation With Incremental Prior Update
arXiv:2604.01651v1 Announce Type: new
Abstract: An assumption often made in supervised learning is that the training and testing sets have the same label distribution. However, in real-life scenarios, this assumption rarely holds. For example, medical…