2025
Learning from Noisy Labels via Self-Taught On-the-Fly Meta Loss Rescaling
AAAI 2025technical
Correct labels are indispensable for training effective machine learning models. However, creating high-quality labels is expensive, and even professionally labeled data contains errors and ambiguities. Filtering and denoising can be applied to curate labeled data prior to training, at the cost of a…