AINeutralarXiv – CS AI · 6h ago6/10
🧠
Hoeffding Concept Bottleneck Models with Applications to Overhead Images
Researchers introduce Hoeffding Concept Bottleneck Models (HCBM), a novel approach to explainable AI that uses non-linear aggregation of concept scores instead of traditional linear methods. The technique demonstrates improved performance on classification and object detection tasks while maintaining robustness against information leakage between concepts.