noisy-labels

Noisy labels can significantly degrade the performance of machine learning models, as they introduce errors during the training process. The challenge of learning from noisy labels is prevalent in real-world datasets, where human error or measurement noise can lead to misleading labels. A common misconception is that increased dataset size will automatically mitigate the impact of noisy labels; however, it can amplify the noise issue if not handled correctly.