Subclass-Dominant Label Noise: A Counterexample for the Success of Early Stopping Yingbin Bai 1 Zhongyi Han 2 Erkun Y ang 3 Jun Y u 4
–Neural Information Processing Systems
Most existing approaches for dealing with noisy labels broadly fall into two categories: noise-modeling-based methods and memorization-effects-based methods.
Neural Information Processing Systems
Oct-9-2025, 08:49:16 GMT
- Country:
- Asia > China
- Anhui Province (0.04)
- Hong Kong (0.04)
- Asia > China
- Genre:
- Research Report > New Finding (1.00)
- Industry:
- Transportation > Ground > Road (0.67)
- Technology:
- Information Technology
- Artificial Intelligence
- Machine Learning
- Inductive Learning (0.69)
- Neural Networks > Deep Learning (0.68)
- Statistical Learning > Clustering (0.46)
- Representation & Reasoning (1.00)
- Vision (0.93)
- Machine Learning
- Data Science > Data Mining (1.00)
- Sensing and Signal Processing > Image Processing (0.93)
- Artificial Intelligence
- Information Technology