Taejong Joo

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 8

Top Topics

Probability Distribution

Top Venues

J. Intell. Manuf.

Publications

Taejong Joo, Diego Klabjan
IW-GAE: Importance weighted group accuracy estimation for improved calibration and model selection in unsupervised domain adaptation. CoRR (2023)
Taejong Joo, Donggu Kang, Byunghoon Kim
Regularizing activations in neural networks via distribution matching with the Wasserstein metric. CoRR (2020)
Taejong Joo, Uijung Chung, Min-Gwan Seo
Being Bayesian about Categorical Probability. ICML (2020)
Taejong Joo, Donggu Kang, Byunghoon Kim
Regularizing activations in neural networks via distribution matching with the Wasserstein metric. ICLR (2020)
Taejong Joo, Uijung Chung
Deep Learning Requires Explicit Regularization for Reliable Predictive Probability. CoRR (2020)
Taejong Joo, Uijung Chung, Min-Gwan Seo
Being Bayesian about Categorical Probability. CoRR (2020)
Taejong Joo, Dongmin Shin
Formalizing Human-Machine Interactions for Adaptive Automation in Smart Manufacturing. IEEE Trans. Hum. Mach. Syst. 49 (6) (2019)
Taejong Joo, Minji Seo, Dongmin Shin
An adaptive approach for determining batch sizes using the hidden Markov model. J. Intell. Manuf. 30 (2) (2019)