3 citations · 3 across the 4 of their papers we have counts for
4 papers
C-Score: Beyond Accuracy for Robustness Assessment in Semi-Supervised Learning under Open-World Unlabeled Contamination
Tsao-Lun Chen, Chi-Cheng Fu, Han-Yi E. Chou +1
Pseudo-label-based semi-supervised learning has achieved strong performance due to its simplicity and scalability. However, it is typically developed under a closed-world assumptio…
Reachability-Aware Pretraining for Efficient Target-Oriented Path Exploration in Temporal Knowledge Graph Reasoning
Chien-Liang Liu, Tsao-Lun Chen
Temporal Knowledge Graph (TKG) reasoning under the extrapolation setting focuses on forecasting future time-stamped events (facts) from historical data in a temporal knowledge grap…
USE: Uncertainty Structure Estimation for Robust Semi-Supervised Learning
Tsao-Lun Chen, Chien-Liang Liu, Tzu-Ming Harry Hsu +4
In this study, a novel idea, Uncertainty Structure Estimation (USE), a lightweight, algorithm-agnostic procedure that emphasizes the often-overlooked role of unlabeled data quality…
Artificial Intelligence to Assess Dental Findings from Panoramic Radiographs -- A Multinational Study
Yin-Chih Chelsea Wang, Tsao-Lun Chen, Shankeeth Vinayahalingam +13
Dental panoramic radiographs (DPRs) are widely used in clinical practice for comprehensive oral assessment but present challenges due to overlapping structures and time constraints…