2 papers
cs.CV2026
CV-DCLR: Causal-Visual Dynamic Label Refinement for Robust Zero-Shot Learning
Can Wang, Jiangnan Li, Mingyu Li +4
Zero-Shot Learning (ZSL) facilitates knowledge transfer via shared semantic spaces. However, a critical bottleneck in this paradigm is Semantic Entanglement, where visual represent…
cs.LG2025
Diffusion Disambiguation Models for Partial Label Learning
Jinfu Fan, Xiaohui Zhong, Kangrui Ren +4
Learning from ambiguous labels is a long-standing problem in practical machine learning applications. The purpose of \emph{partial label learning} (PLL) is to identify the ground-t…