Abstract Neuro-Symbolic (NeSy) predictive models hold the promise of improved
compliance with given constraints, systematic generalization, and interpretability, as they …

In deep learning, auxiliary objectives are often used to facilitate learning in situations where
data is scarce, or the principal task is extremely complex. This idea is primarily inspired by …

Artificial Intelligence (AI) requires machines capable of learning and generalizing from data
without being explicitly programmed to do so, giving rise to the field of Machine Learning …