Joo, Taejong

5 publications

NeurIPS 2025 Technical Debt in In-Context Learning: Diminishing Efficiency in Long Context Taejong Joo, Diego Klabjan

ICML 2024 IW-GAE: Importance Weighted Group Accuracy Estimation for Improved Calibration and Model Selection in Unsupervised Domain Adaptation Taejong Joo, Diego Klabjan

NeurIPS 2024 Improving Self-Training Under Distribution Shifts via Anchored Confidence with Theoretical Guarantees Taejong Joo, Diego Klabjan

ICML 2020 Being Bayesian About Categorical Probability Taejong Joo, Uijung Chung, Min-Gwan Seo

ICLR 2020 Regularizing Activations in Neural Networks via Distribution Matching with the Wasserstein Metric Taejong Joo, Donggu Kang, Byunghoon Kim