Geometric-Disentangelment Unlearning

This article likely discusses a novel approach to unlearning in machine learning, specifically focusing on geometric and disentanglement aspects. The title suggests a method to remove or mitigate the influence of specific data points or concepts from a model by manipulating its geometric representation and disentangling learned features. The use of "unlearning" implies a focus on privacy, data deletion, or model adaptation.