Massimiliano Ciranni

Diffusing DeBias: Synthetic Bias Amplification for Model Debiasing

The effectiveness of deep learning models in classification tasks is often challenged by the quality and quantity of training data whenever they are affected by strong spurious correlations between specific attributes and target labels. This results in a form of bias affecting training data, which t…