Uncertainty Quantification

Emergent Linear Separability of Unseen Data Points in High-dimensional Last-Layer Feature Space
We propose a simple geometric uncertainty measure based on linear separability in the last-layer feature space of deep networks, offering a theoretically grounded and non-probabilistic approach to uncertainty quantification.
Emergent Linear Separability of Unseen Data Points in High-dimensional Last-Layer Feature Space