2024
Learning from Long-Tailed Noisy Data with Sample Selection and Balanced Loss
IJCAI 2024poster
The success of deep learning depends on large-scale and well-curated training data, while data in real-world applications are commonly long-tailed and noisy. Existing methods are usually dependent on label frequency to tackle class imbalance, while the model bias on different classes is not directly…