Resource-Constrained Affect Modelling via Variance Regularisation Pruning 事件

Resource-Constrained Affect Modelling via Variance Regularisation Pruning arXiv:2605.27479v1 Announce Type: cross Abstract: Affective computing systems are increasingly embedded in pervasive and interactive environments, such as adaptive games, assistive technologies, and resource-constrained platforms, where computational efficiency must be balanced with reliability across diverse users. Model pruning offers an effective way to reduce computational demands, yet existing approaches typically op