From Neural Collapse to Label-Limited Evolving Streams: Geometry-Constrained Learning Under Dynamic Class Imbalance
A novel framework named Neural collapse Inspired Label-limited Evolving stream learning (NILE), which exploits Neural Collapse geometry to explicitly construct a Simplex Equiangular Tight Frame (ETF) as a fixed classifier, ensuring maximal inter-class separability to guide feature discriminability.