| 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 | 64 | 2022 |
| 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 | 46 | 2022 |
| 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 | 34* | 2022 |
| 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 |
| 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 | 25 | 2020 |
| 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 | 8* | 2024 |
| 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 | 3 | 2023 |
| Diffusion Rejection Sampling B Na, Y Kim, M Park, D Shin, W Kang, IC Moon arXiv preprint arXiv:2405.17880, 2024 | 1 | 2024 |
| 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 | 1 | 2023 |
| 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 | 1 | 2023 |
| Reward-based Input Construction for Cross-document Relation Extraction B Na, S Jo, Y Kim, IC Moon arXiv preprint arXiv:2405.20649, 2024 | | 2024 |
| Diffusion Bridge AutoEncoders for Unsupervised Representation Learning Y Kim, K Lee, M Park, B Na, IC Moon arXiv preprint arXiv:2405.17111, 2024 | | 2024 |
| 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 | | 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 |
| 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 | | |
Il-Chul MoonAssociate Professor, Department of Industrial and Systems Engineering, KAISTkaist.ac.kr의 이메일 확인됨