Qin Ma

Enhancing Semi-Supervised Learning with Cross-Modal Knowledge

2022 · Proceedings of the 30th ACM International Conference on Multimedia

Semi-supervised learning (SSL), which leverages a small number of labeled data that rely on expert knowledge and a large number of easily accessible unlabeled data, has made rapid progress recently. However, the information comes from …

Get a Head Start: Targeted Labeling at Source with Limited Annotation Overhead for Semi-Supervised Learning

2023

Semi-supervised learning (SSL), which leverages limited labeled data and a large amount of unlabeled data for model training, has been widely studied to mitigate the requirement for expensive and time-consuming annotations. Recently proposed methods have …