RI:Small: Neuro-PGM: Neuro-Symbolic Integration with Probabilistic Graphical Models Towards Data Efficient, Generalizable, and Interpretable Deep Learning

Despite the impressive performance of modern deep learning models across various domains, they still suffer from several fundamental limitations, including high data dependency, poor generalization, and low interpretability. These limitations primarily arise from the data-driven nature of deep models and their inability to effectively leverage…