2024
Balanced Data, Imbalanced Spectra: Unveiling Class Disparities with Spectral Imbalance
ICML 2024poster
Classification models are expected to perform equally well for different classes, yet in practice, there are often large gaps in their performance. This issue of class bias is widely studied in cases of datasets with sample imbalance, but is relatively overlooked in balanced datasets. In this work,…