3 papers
cs.LG2026
TRACE-CASH: Trial-History-Conditioned Reinforcement Learning for Adaptive Configuration Exploration in Time-Series CASH
Yu-Han Huang, Yujia Wu, Vincent S. Tseng
Combined algorithm selection and hyperparameter optimization (CASH) searches a conditional space in which the selected model determines which hyperparameters are active. In time-se…
cs.LG2026
FETERS: Few-Shot Early Time-Series Classification via Effective Ratio Selection
Chen-An Tai, Yujia Wu, Vincent S. Tseng
Early time-series classification (ETSC) aims to make accurate predictions from partially observed time series as early as possible. Although various stopping mechanisms and feature…
cs.CV2024
Precise Facial Landmark Detection by Dynamic Semantic Aggregation Transformer
Jun Wan, He Liu, Yujia Wu +3
At present, deep neural network methods have played a dominant role in face alignment field. However, they generally use predefined network structures to predict landmarks, which t…