2 papers
cs.CV2026
Is an Image Also Worth 16x16=256 Superpixels? A Framework for Attentional Image Classification
Pedro Henrique da Costa Avelar, Anderson R. Tavares, LuÃs C. Lamb
Superpixel-based image classification has traditionally leveraged graph neural networks (GNNs) for processing irregular image representations. Recent advances in computer vision, d…
cs.LG2025
Understanding Boolean Function Learnability on Deep Neural Networks: PAC Learning Meets Neurosymbolic Models
Marcio Nicolau, Anderson R. Tavares, Zhiwei Zhang +4
Computational learning theory states that many classes of boolean formulas are learnable in polynomial time. This paper addresses the understudied subject of how, in practice, such…