2024
Sample Selection via Contrastive Fragmentation for Noisy Label Regression
NeurIPS 2024poster
As with many other problems, real-world regression is plagued by the presence of noisy labels, an inevitable issue that demands our attention. Fortunately, much real-world data often exhibits an intrinsic property of continuously ordered correlations between labels and features, where data points w…