label selection 1optimal transport 1partial labels 1prompt learning 1vision-language models 1weak supervision 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.CV2026
Holistic Optimal Label Selection for Robust Prompt Learning under Partial Labels
Yaqi Zhao, Haoliang Sun, Yating Wang +2
The paper introduces Holistic Optimal Label Selection (HopS), which combines a local density‑based filter with a global optimal‑transport objective to choose reliable labels for pr…
cs.CV2026
Joint Semantic Token Selection and Prompt Optimization for Interpretable Prompt Learning
Yating Wang, Yaqi Zhao, Yongshun Gong +2
Vision-language models such as CLIP achieve strong visual-textual alignment, but often suffer from overfitting and limited interpretability when adapted through continuous prompt l…
cs.CV2025
A Conditional Probability Framework for Compositional Zero-shot Learning
Peng Wu, Qiuxia Lai, Hao Fang +4
Compositional Zero-Shot Learning (CZSL) aims to recognize unseen combinations of known objects and attributes by leveraging knowledge from previously seen compositions. Traditional…