Taejong Joo

14 papers A* 4Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
On Surprising Effectiveness of Masking Updates in Adaptive Optimizers.
CoRR
Taejong Joo, Wenhan Xia, Cheolmin Kim, Ming Zhang, Eugene Ie
2025 J jnl
Graph of Agents: Principled Long Context Modeling by Emergent Multi-Agent Collaboration.
CoRR
Taejong Joo, Shu Ishida, Ivan Sosnovik, Bryan Lim, Sahand Rezaei-Shoshtari, Adam Gaier, Robert Giaquinto
2025 J jnl
Technical Debt in In-Context Learning: Diminishing Efficiency in Long Context.
CoRR
Taejong Joo, Diego Klabjan
2024 A* conf
IW-GAE: Importance weighted group accuracy estimation for improved calibration and model selection in unsupervised domain adaptation.
ICML
Taejong Joo, Diego Klabjan
2024 A* conf
Improving self-training under distribution shifts via anchored confidence with theoretical guarantees.
NeurIPS
Taejong Joo, Diego Klabjan
2024 J jnl
Improving self-training under distribution shifts via anchored confidence with theoretical guarantees.
CoRR
Taejong Joo, Diego Klabjan
2023 J jnl
IW-GAE: Importance weighted group accuracy estimation for improved calibration and model selection in unsupervised domain adaptation.
CoRR
Taejong Joo, Diego Klabjan
2020 A* conf
Being Bayesian about Categorical Probability.
ICML
Taejong Joo, Uijung Chung, Min-Gwan Seo
2020 J jnl
Being Bayesian about Categorical Probability.
CoRR
Taejong Joo, Uijung Chung, Min-Gwan Seo
2020 J jnl
Deep Learning Requires Explicit Regularization for Reliable Predictive Probability.
CoRR
Taejong Joo, Uijung Chung
2020 A* conf
Regularizing activations in neural networks via distribution matching with the Wasserstein metric.
ICLR
Taejong Joo, Donggu Kang, Byunghoon Kim
2020 J jnl
Regularizing activations in neural networks via distribution matching with the Wasserstein metric.
CoRR
Taejong Joo, Donggu Kang, Byunghoon Kim
2019 J jnl
An adaptive approach for determining batch sizes using the hidden Markov model.
J. Intell. Manuf.
Taejong Joo, Minji Seo, Dongmin Shin
2019 J jnl
Formalizing Human-Machine Interactions for Adaptive Automation in Smart Manufacturing.
IEEE Trans. Hum. Mach. Syst.
Taejong Joo, Dongmin Shin
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski