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cs.LG2026
Adaptive Label Error Detection: A Bayesian Approach to Mislabeled Data Detection
Zan Chaudhry, Noam H. Rotenberg, Brian Caffo +2
Machine learning classification systems are susceptible to poor performance when trained with incorrect ground truth labels, even when data is well-curated by expert annotators. As…
cs.LG2023★ 1 cited
Evidential Uncertainty Quantification: A Variance-Based Perspective
Ruxiao Duan, Brian Caffo, Harrison X. Bai +2
Uncertainty quantification of deep neural networks has become an active field of research and plays a crucial role in various downstream tasks such as active learning. Recent advan…