2019
Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting
NeurIPS 2019poster
Current deep neural networks(DNNs) can easily overfit to biased training data with corrupted labels or class imbalance. Sample re-weighting strategy is commonly used to alleviate this issue by designing a weighting function mapping from training loss to sample weight, and then iterating between weig…