1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Mixture Experts with Test-Time Self-Supervised Aggregation for Tabular Imbalanced Regression
Yung-Chien Wang, Kuang-Da Wang, Wei-Yao Wang +1
Tabular data serve as a fundamental and ubiquitous representation of structured information in numerous real-world applications, e.g., finance and urban planning. In the realm of t…
cs.LG2024
APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning
Hong-Wei Wu, Wei-Yao Wang, Kuang-Da Wang +1
Tabular data are fundamental in common machine learning applications, ranging from finance to genomics and healthcare. This paper focuses on tabular regression tasks, a field where…
cs.CL2023★ 1 cited
NYCU-TWO at Memotion 3: Good Foundation, Good Teacher, then you have Good Meme Analysis
Yu-Chien Tang, Kuang-Da Wang, Ting-Yun Ou +1
This paper presents a robust solution to the Memotion 3.0 Shared Task. The goal of this task is to classify the emotion and the corresponding intensity expressed by memes, which ar…