Deyu Meng

Understanding Self-Paced Learning under Concave Conjugacy Theory

2018 · arXiv (Cornell University)

By simulating the easy-to-hard learning manners of humans/animals, the learning regimes called curriculum learning~(CL) and self-paced learning~(SPL) have been recently investigated and invoked broad interests. However, the intrinsic mechanism for analyzing why such learning regimes …

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 …

Scientific AI systems require domain-aware robustness validation

2026 · Cell Reports Physical Science

AI has become an essential tool in many areas of scientific discovery. However, its robustness, particularly in high-stakes scientific applications, remains insufficiently understood. While adversarial vulnerabilities have been widely studied in image recognition, their implications …