Domain-specific feature elimination: multi-source domain adaptation for image classification

Multiple knowledge representation for big data artificial intelligence: framework, applications, and case studies

(2022) Yi Yang et al.   Frontiers of Information Technology & Electronic Engineering

Metric learning for domain adversarial network

(2022) Haifeng Hu et al.   Frontiers of Computer Science

Toward few-shot domain adaptation with perturbation-invariant representation and transferable prototypes

(2022) Junsong Fan et al.   Frontiers of Computer Science

Self-adaptive label filtering learning for unsupervised domain adaptation

(2022) Qing Tian et al.   Frontiers of Computer Science

Self-corrected unsupervised domain adaptation

(2021) Yunyun Wang et al.   Frontiers of Computer Science

Compositional metric learning for multi-label classification

(2020) Yan-Ping Sun et al.   Frontiers of Computer Science

Safe semi-supervised learning: a brief introduction

(2019) Yu-Feng Li et al.   Frontiers of Computer Science

Query by diverse committee in transfer active learning

(2018) Hao Shao   Frontiers of Computer Science