Chaohua Li

All-around Neural Collapse for Imbalanced Classification

2024 · arXiv (Cornell University)

Neural Collapse (NC) presents an elegant geometric structure that enables individual activations (features), class means and classifier (weights) vectors to reach \textit{optimal} inter-class separability during the terminal phase of training on a \textit{balanced} dataset. Once …