1 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.LG2021★ 1 cited
Multi-Class Classification from Single-Class Data with Confidences
Yuzhou Cao, Lei Feng, Senlin Shu +4
Can we learn a multi-class classifier from only data of a single class? We show that without any assumptions on the loss functions, models, and optimizers, we can successfully lear…
stat.ML2021★ 1 cited
Learning from Similarity-Confidence Data
Yuzhou Cao, Lei Feng, Yitian Xu +3
Weakly supervised learning has drawn considerable attention recently to reduce the expensive time and labor consumption of labeling massive data. In this paper, we investigate a no…
stat.ML2020
Multi-Complementary and Unlabeled Learning for Arbitrary Losses and Models
Yuzhou Cao, Shuqi Liu, Yitian Xu
A weakly-supervised learning framework named as complementary-label learning has been proposed recently, where each sample is equipped with a single complementary label that denote…