Jun Shu

Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting

2019 · Neural Information Processing Systems

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 …

DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning

2023 · PubMed

Meta learning recently has been heavily researched and helped advance the contemporary machine learning. However, achieving a well-performing meta-learning model requires a large amount of training tasks with high-quality meta-data representing the underlying task generalization …