Statistical Frameworks for Self-Supervised Representation Learning and Their Biomedical Applications

While recent advancements in large-scale machine learning models have shown impressive capabilities, they often rely on hundreds of millions of labeled samples. However, obtaining high-quality labels in many fields is extremely costly, so most available data remain unlabeled. For example, although millions of images and videos can be easily…