Taejong Joo

Orcid: 0000-0002-3204-3270

According to our database1, Taejong Joo authored at least 8 papers between 2019 and 2025.

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Bibliography

2025
Technical Debt in In-Context Learning: Diminishing Efficiency in Long Context.
CoRR, February, 2025

2024
Improving self-training under distribution shifts via anchored confidence with theoretical guarantees.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

IW-GAE: Importance weighted group accuracy estimation for improved calibration and model selection in unsupervised domain adaptation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2020
Deep Learning Requires Explicit Regularization for Reliable Predictive Probability.
CoRR, 2020

Being Bayesian about Categorical Probability.
Proceedings of the 37th International Conference on Machine Learning, 2020

Regularizing activations in neural networks via distribution matching with the Wasserstein metric.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Formalizing Human-Machine Interactions for Adaptive Automation in Smart Manufacturing.
IEEE Trans. Hum. Mach. Syst., 2019

An adaptive approach for determining batch sizes using the hidden Markov model.
J. Intell. Manuf., 2019


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