The conventional wisdom in machine learning, particularly for tasks like image classification, has long held an implicit prerequisite: the necessity of vast quantities of meticulously labeled data. This paradigm, where each data point is painstakingly annotated by human experts, forms the bedrock of supervised learning algorithms. However, a growing body of research challenges this fundamental […]