Yong Cheng

CLIP-Guided Adaptive Sample Selection with Machine Unlearning and Negative Learning Strategies for Noisy Labels Learning

Deep neural networks (DNNs), due to their over-parameterization and memorization capacity, are prone to fitting incorrect labels in training data, which can substantially degrade their performance. Consequently, LNL has attracted increasing attention. Popular LNL methods select p...