From the 1 of 4 linked papers with an AI index.
4 papers
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…
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…
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…
Off-OAB: Off-Policy Policy Gradient Method with Optimal Action-Dependent Baseline
Wenjia Meng, Qian Zheng, Long Yang +2
Policy-based methods have achieved remarkable success in solving challenging reinforcement learning problems. Among these methods, off-policy policy gradient methods are particular…