7 citations · 14 across the 4 of their papers we have counts for
4 papers
Provable Multi-instance Deep AUC Maximization with Stochastic Pooling
Dixian Zhu, Bokun Wang, Zhi Chen +4
This paper considers a novel application of deep AUC maximization (DAM) for multi-instance learning (MIL), in which a single class label is assigned to a bag of instances (e.g., mu…
A deep learning network with differentiable dynamic programming for retina OCT surface segmentation
Hui Xie, Weiyu Xu, Xiaodong Wu
Multiple-surface segmentation in Optical Coherence Tomography (OCT) images is a challenge problem, further complicated by the frequent presence of weak image boundaries. Recently,…
Benchmarking Deep AUROC Optimization: Loss Functions and Algorithmic Choices
Dixian Zhu, Xiaodong Wu, Tianbao Yang
The area under the ROC curve (AUROC) has been vigorously applied for imbalanced classification and moreover combined with deep learning techniques. However, there is no existing wo…
When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee
Dixian Zhu, Gang Li, Bokun Wang +2
In this paper, we propose systematic and efficient gradient-based methods for both one-way and two-way partial AUC (pAUC) maximization that are applicable to deep learning. We prop…