2 papers
cs.LG2025
Preference is More Than Comparisons: Rethinking Dueling Bandits with Augmented Human Feedback
Shengbo Wang, Hong Sun, Ke Li
Interactive preference elicitation (IPE) aims to substantially reduce human effort while acquiring human preferences in wide personalization systems. Dueling bandit (DB) algorithms…
cs.CV2025
Beyond Label Semantics: Language-Guided Action Anatomy for Few-shot Action Recognition
Zefeng Qian, Xincheng Yao, Yifei Huang +3
Few-shot action recognition (FSAR) aims to classify human actions in videos with only a small number of labeled samples per category. The scarcity of training data has driven recen…