53 citations · 61 across the 5 of their papers we have counts for
4 papers · 1 filter
Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data
Xin Zou, Weiwei Liu
Out-of-distribution (OOD) generalization has attracted increasing research attention in recent years, due to its promising experimental results in real-world applications. In this…
Deep Partial Multi-Label Learning with Graph Disambiguation
Haobo Wang, Shisong Yang, Gengyu Lyu +5
In partial multi-label learning (PML), each data example is equipped with a candidate label set, which consists of multiple ground-truth labels and other false-positive labels. Rec…
Generalization Bounds for Adversarial Contrastive Learning
Xin Zou, Weiwei Liu
Deep networks are well-known to be fragile to adversarial attacks, and adversarial training is one of the most popular methods used to train a robust model. To take advantage of un…
WAT: Improve the Worst-class Robustness in Adversarial Training
Boqi Li, Weiwei Liu
Deep Neural Networks (DNN) have been shown to be vulnerable to adversarial examples. Adversarial training (AT) is a popular and effective strategy to defend against adversarial att…