Concept Alignment

Concept Alignment aims to align the representations or concepts learned by a model with the intended target concepts. By adjusting the model parameters or training process, it ensures that the learned concepts accurately reflect the underlying patterns in the data, thereby improving the model's interpretability and robustness, and enhancing its application effects in fields such as computer vision.