Kang Hao

Towards Sustainable Learning: Coresets for Data-efficient Deep Learning

To improve the efficiency and sustainability of learning deep models, we propose CREST, the first scalable framework with rigorous theoretical guarantees to identify the most valuable examples for training non-convex models, particularly deep networks. To guarantee convergence to a stationary point…