| Counterfactual fairness with disentangled causal effect variational autoencoder H Kim, S Shin, JH Jang, K Song, W Joo, W Kang, IC Moon Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 8128-8136, 2021 | 52 | 2021 |
| Lada: Look-ahead data acquisition via augmentation for deep active learning YY Kim, K Song, JH Jang, IC Moon Advances in Neural Information Processing Systems 34, 22919-22930, 2021 | 35 | 2021 |
| Neutralizing gender bias in word embedding with latent disentanglement and counterfactual generation S Shin, K Song, JH Jang, H Kim, W Joo, IC Moon arXiv preprint arXiv:2004.03133, 2020 | 27 | 2020 |
| 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 | 22 | 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 | 19 | 2022 |
| Forecasting the concentration of particulate matter in the seoul metropolitan area using a gaussian process model JH Jang, S Shin, H Lee, IC Moon Sensors 20 (14), 3845, 2020 | 11 | 2020 |
| Bivariate beta-LSTM K Song, JH Jang, S jae Shin, IC Moon Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5818-5825, 2020 | 10 | 2020 |
| Lada: Look-ahead data acquisition via augmentation for active learning YY Kim, K Song, JH Jang, IC Moon arXiv preprint arXiv:2011.04194, 2020 | 3 | 2020 |
| Training unbiased diffusion models from biased dataset Y Kim, B Na, M Park, JH Jang, D Kim, W Kang, IC Moon The Twelfth International Conference on Learning Representations, 2024 | 2 | 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 | 2 | 2023 |
| 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 |
| 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 |
| Towards Pareto-Optimality for Test-Time Adaptation JH Jang, DH Shin, B Na, HS Bae, I Moon | | |
| Bivariate Beta-LSTM Download PDF K Song, JH Jang, S jae Shin, IC Moon | | |
Il-Chul MoonAssociate Professor, Department of Industrial and Systems Engineering, KAIST在 kaist.ac.kr 的电子邮件经过验证
