👉 Semiprogressively is a concept in computer science, particularly in the area of machine learning and deep learning. It describes how a model can be trained using only a small amount of labeled data, without overfitting to the training set. This approach allows for more efficient computation and training of models by avoiding unnecessary computations that would otherwise lead to overfitting. In other words, it is about making use of the available data in a way that minimizes the computational complexity needed to train a model
