2024
Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning
AAAI 2024technical
One of the ultimate goals of representation learning is to achieve compactness within a class and well-separability between classes. Many outstanding metric-based and prototype-based methods following the Expectation-Maximization paradigm, have been proposed for this objective. However, they inevita…