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Byeonghu Na
Byeonghu Na
Other names나병후
KAIST
Verified email at kaist.ac.kr - Homepage
Title
Cited by
Cited by
Year
Multi-modal text recognition networks: Interactive enhancements between visual and semantic features
B Na, Y Kim, S Park
European Conference on Computer Vision, 446-463, 2022
502022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models
D Kim, B Na, SJ Kwon, D Lee, W Kang, IC Moon
Advances in Neural Information Processing Systems 35, 32270-32284, 2022
322022
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
24*2022
Deep Generative Positive-Unlabeled Learning under Selection Bias
B Na, H Kim, K Song, W Joo, YY Kim, IC Moon
Proceedings of the 29th ACM International Conference on Information …, 2020
242020
Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation
JH Jang, B Na, DH Shin, M Ji, K Song, IC Moon
Advances in Neural Information Processing Systems 35, 16755-16767, 2022
22*2022
Hierarchical Multi-Label Classification with Partial Labels and Unknown Hierarchy
S Jo, DH Shin, B Na, JH Jang, IC Moon
Proceedings of the 32nd ACM International Conference on Information and …, 2023
12023
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning
HS Bae, S Shin, B Na, I Moon
The Twelfth International Conference on Learning Representations, 2023
12023
SAAL: sharpness-aware active learning
YY Kim, Y Cho, JH Jang, B Na, Y Kim, K Song, W Kang, IC Moon
International Conference on Machine Learning, 16424-16440, 2023
12023
Training Unbiased Diffusion Models From Biased Dataset
Y Kim, B Na, M Park, JH Jang, D Kim, W Kang, IC Moon
arXiv preprint arXiv:2403.01189, 2024
2024
Label-Noise Robust Diffusion Models
B Na, Y Kim, HS Bae, JH Lee, SJ Kwon, W Kang, I Moon
The Twelfth International Conference on Learning Representations, 2023
2023
Unknown Domain Inconsistency Minimization for Domain Generalization
S Shin, HS Bae, B Na, YY Kim, I Moon
The Twelfth International Conference on Learning Representations, 2023
2023
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, I Moon
ICML 2022: Workshop on Spurious Correlations, Invariance and Stability, 2022
2022
인공 신경망 기반 뉴스기사의 토픽 분석 및 문서 분류 동시 수행 모델 개발
신승재， 나병후， 신동혁， 나영연
한국정보과학회 학술발표논문집, 1876-1878, 2017
2017
Towards Pareto-Optimality for Test-Time Adaptation
JH Jang, DH Shin, B Na, HS Bae, I Moon
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Articles 1–14