From the 1 of 8 linked papers with an AI index.
4 papers · 1 filter
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…
EFF-Grasp: Energy-Field Flow Matching for Physics-Aware Dexterous Grasp Generation
Yukun Zhao, Zichen Zhong, Yongshun Gong +2
Denoising generative models have recently become the dominant paradigm for dexterous grasp generation, owing to their ability to model complex grasp distributions from large-scale…
Diverse Teacher-Students for Deep Safe Semi-Supervised Learning under Class Mismatch
Qikai Wang, Rundong He, Yongshun Gong +4
Semi-supervised learning can significantly boost model performance by leveraging unlabeled data, particularly when labeled data is scarce. However, real-world unlabeled data often…