Feature Concept

Feature concepts represent abstract ideas or knowledge to be extracted from data, serving as a bridge between raw data and desired insights. Current research focuses on developing methods to efficiently identify and utilize these concepts, including techniques like knowledge distillation to transfer knowledge from complex models to simpler, more efficient ones, and interactive graph generation to connect datasets based on shared events or scenarios related to the target concept. This work aims to improve data utilization for practical applications, such as enhancing AI model performance in image segmentation and fostering creative data-driven solutions for real-world problems like well-being analysis.