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HeeSun Bae
HeeSun Bae
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From noisy prediction to true label: Noisy prediction calibration via generative model
HS Bae, S Shin, B Na, JH Jang, K Song, IC Moon
International Conference on Machine Learning, 1277-1297, 2022
28*2022
Loss-curvature matching for dataset selection and condensation
S Shin, H Bae, D Shin, W Joo, IC Moon
International Conference on Artificial Intelligence and Statistics, 8606-8628, 2023
252023
Evaluation of optimal scene time interval for out-of-hospital cardiac arrest using a deep neural network
SJ Shin, HS Bae, HJ Moon, GW Kim, YS Cho, DW Lee, DK Jeong, HJ Kim, ...
The American Journal of Emergency Medicine 63, 29-37, 2023
52023
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior
Y Cho, HS Bae, S Shin, YD Youn, W Joo, IC Moon
Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 11552 ¡¦, 2024
22024
Label-Noise Robust Diffusion Models
B Na, Y Kim, HS Bae, JH Lee, SJ Kwon, W Kang, IC Moon
arXiv preprint arXiv:2402.17517, 2024
22024
Current Calculation Simulation Model for Smartgrid-based Energy Distribution System Operation
HS Bae, S Shin, IC Moon, JW Bae
Journal of the Korea Society for Simulation 30 (1), 113-126, 2021
12021
Unknown Domain Inconsistency Minimization for Domain Generalization
S Shin, HS Bae, B Na, YY Kim, IC Moon
arXiv preprint arXiv:2403.07329, 2024
2024
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning
HS Bae, S Shin, B Na, IC Moon
arXiv preprint arXiv:2403.02690, 2024
2024
The relationship between housing finance and inequality
TS Yun, HS Bae, IC Moon, D Jeong
Journal of Economic Interaction and Coordination 19 (1), 151-191, 2024
2024
Improving Group-based Robustness and Calibration via Ordered Risk and Confidence Regularization
S Shin, B Na, HS Bae, JH Jang, H Kim, K Song, Y Cho, IC Moon
ICML 2022: Workshop on Spurious Correlations, Invariance and Stability, 2022
2022
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2021
DPO-Finetuned Large Multi-Modal Planner with Retrieval-Augmented Generation@ EgoPlan Challenge ICML 2024
K Lee, M Kang, H Na, HS Bae, B Na, D Kwon, S Shin, Y Kim, S Yun, ...
Multi-modal Foundation Model meets Embodied AI Workshop@ ICML2024, 0
Towards Pareto-Optimality for Test-Time Adaptation
JH Jang, DH Shin, B Na, HS Bae, I Moon
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