10 citations · 11 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 1 cited
Robust Semi-supervised Learning by Wisely Leveraging Open-set Data
Yang Yang, Nan Jiang, Yi Xu +1
Open-set Semi-supervised Learning (OSSL) holds a realistic setting that unlabeled data may come from classes unseen in the labeled set, i.e., out-of-distribution (OOD) data, which…
cs.LG2024★ 10 cited
Robust Semi-Supervised Learning for Self-learning Open-World Classes
Wenjuan Xi, Xin Song, Weili Guo +1
Existing semi-supervised learning (SSL) methods assume that labeled and unlabeled data share the same class space. However, in real-world applications, unlabeled data always contai…