2 papers
cs.LG2025
ERIS: An Energy-Guided Feature Disentanglement Framework for Out-of-Distribution Time Series Classification
Xin Wu, Fei Teng, Ji Zhang +2
An ideal time series classification (TSC) should be able to capture invariant representations, but achieving reliable performance on out-of-distribution (OOD) data remains a core o…
cs.CV2025
Exploring Partial Multi-Label Learning via Integrating Semantic Co-occurrence Knowledge
Xin Wu, Fei Teng, Yue Feng +4
Partial multi-label learning aims to extract knowledge from incompletely annotated data, which includes known correct labels, known incorrect labels, and unknown labels. The core c…