2021
Faster Meta Update Strategy for Noise-Robust Deep Learning
CVPR 2021poster
It has been shown that deep neural networks are prone to overfitting on biased training data. Towards addressing this issue, meta-learning employs a meta model for correcting the training bias. Despite the promising performances, super slow training is currently the bottleneck in the meta learning a…