Lucile Callebert

Rebalancing Label Distribution While Eliminating Inherent Waiting Time in Multi Label Active Learning Applied to Transformers

Data annotation is crucial for machine learning, notably in technical domains, where the quality and quantity of annotated data, significantly affect effectiveness of trained models. Employing humans is costly, especially when annotating for multi-label classification, as instances may bear multiple…