1 citations · 1 across the 3 of their papers we have counts for
3 papers
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…
Emergent Language Symbolic Autoencoder (ELSA) with Weak Supervision to Model Hierarchical Brain Networks
Ammar Ahmed Pallikonda Latheef, Alberto Santamaria-Pang, Craig K Jones +1
Brain networks display a hierarchical organization, a complexity that poses a challenge for existing deep learning models, often structured as flat classifiers, leading to difficul…
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…