Jeff Bilmes

Robust Curriculum Learning: from clean label detection to noisy label self-correction

2021 · International Conference on Learning Representations

Neural network training can easily overfit noisy labels resulting in poor generalization performance. Existing methods address this problem by (1) filtering out the noisy data and only using the clean data for training or (2) …

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation

2024 · arXiv (Cornell University)

Retrieval augmentation, the practice of retrieving additional data from large auxiliary pools, has emerged as an effective technique for enhancing model performance in the low-data regime. Prior approaches have employed only nearest-neighbor based strategies for …