Chongyao Chen

Improve Representation for Imbalanced Regression through Geometric Constraints

In representation learning, uniformity refers to the uniform feature distribution in the latent space (i.e., unit hypersphere). Previous work has shown that improving uniformity contributes to the learning of under-represented classes. However, most of the previous work focused on classification; th…