Raphaël Baena

Entropy Based Feature Regularization to Improve Transferability of Deep Learning Models

When dealing with signals, labeling a classification dataset implies to define classes that may approximate a smoother and more complicated ground truth. For example, natural images may contain multiple objects, only one of which is labeled in many vision datasets, or classes may result from the dis…