2023
DynaMS: Dyanmic Margin Selection for Efficient Deep Learning
ICLR 2023poster
The great success of deep learning is largely driven by training over-parameterized models on massive datasets. To avoid excessive computation, extracting and training only on the most informative subset is drawing increasing attention. Nevertheless, it is still an open question how to select such a…