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JoonHo Jang
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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
522021
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
352021
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
272020
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
222022
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
192022
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
112020
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
102020
Lada: Look-ahead data acquisition via augmentation for active learning
YY Kim, K Song, JH Jang, IC Moon
arXiv preprint arXiv:2011.04194, 2020
32020
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
22024
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
22023
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
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
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