Maor Dikter

Conceptual Learning via Embedding Approximations for Reinforcing Interpretability and Transparency

2025

Concept bottleneck models (CBMs) have emerged as critical tools in domains where interpretability is paramount. These models rely on predefined textual descriptions, referred to as concepts, to inform their decision-making process and offer more accurate …