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cs.LG2025
Consistent Labeling Across Group Assignments: Variance Reduction in Conditional Average Treatment Effect Estimation
Yi-Fu Fu, Keng-Te Liao, Shou-De Lin
Numerous algorithms have been developed for Conditional Average Treatment Effect (CATE) estimation. In this paper, we first highlight a common issue where many algorithms exhibit i…
cs.LG2024
Enhance Modality Robustness in Text-Centric Multimodal Alignment with Adversarial Prompting
Yun-Da Tsai, Ting-Yu Yen, Keng-Te Liao +1
Converting different modalities into generalized text, which then serves as input prompts for large language models (LLMs), is a common approach for aligning multimodal models, par…
cs.LG2023★ 4 cited
Environment Diversification with Multi-head Neural Network for Invariant Learning
Bo-Wei Huang, Keng-Te Liao, Chang-Sheng Kao +1
Neural networks are often trained with empirical risk minimization; however, it has been shown that a shift between training and testing distributions can cause unpredictable perfo…