Attention in Rule-Based Machine Learning: Exploiting Learning Classifier Systems' Generalization for Image Classification
Abubakar Siddique, Muhammad Iqbal, Shahab Ud Din, Will Neil Browne · 2023
Deep learning is a cutting-edge methodology that has been widely used in real-world applications to solve computer vision tasks. Deep learning models are typically seen as black boxes, opaque, and difficult to interpret. Recently, attention-based vision transformers have been introduced to overcome the black-box behavior of deep networks. However, the decision-making process of the vision transformer is still not interpretable. Moreover, these models require a large amount of memory, huge computational resources, and enormous training data.