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Kyungwoo Song
Kyungwoo Song
Bestätigte E-Mail-Adresse bei yonsei.ac.kr - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Augmented variational autoencoders for collaborative filtering with auxiliary information
W Lee, K Song, IC Moon
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
632017
Soft truncation: A universal training technique of score-based diffusion model for high precision score estimation
D Kim, S Shin, K Song, W Kang, IC Moon
arXiv preprint arXiv:2106.05527, 2021
542021
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
462021
Hierarchical Context enabled Recurrent Neural Network for Recommendation
K Song, M Ji, S Park, IC Moon
Thirty-Third AAAI Conference on Artificial Intelligence, 2019
342019
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
322021
Sequential recommendation with relation-aware kernelized self-attention
M Ji, W Joo, K Song, YY Kim, IC Moon
Proceedings of the AAAI conference on artificial intelligence 34 (04), 4304-4311, 2020
322020
Score matching model for unbounded data score
D Kim, S Shin, K Song, W Kang, IC Moon
arXiv preprint arXiv:2106.05527 7, 2021
272021
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
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
232020
Blackvip: Black-box visual prompting for robust transfer learning
C Oh, H Hwang, H Lee, YT Lim, G Jung, J Jung, H Choi, K Song
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
212023
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
212022
Geodesic multi-modal mixup for robust fine-tuning
C Oh, J So, H Byun, YT Lim, M Shin, JJ Jeon, K Song
Advances in Neural Information Processing Systems 36, 2024
152024
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
142022
Hierarchically clustered representation learning
SJ Shin, K Song, IC Moon
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5776-5783, 2020
132020
State prediction of high-speed ballistic vehicles with Gaussian process
IC Moon, K Song, SH Kim, HL Choi
International Journal of Control, Automation and Systems 16, 1282-1292, 2018
122018
Learning fair representation via distributional contrastive disentanglement
C Oh, H Won, J So, T Kim, Y Kim, H Choi, K Song
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
112022
Implicit kernel attention
K Song, Y Jung, D Kim, IC Moon
Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9713-9721, 2021
112021
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
92020
Adversarial dropout for recurrent neural networks
S Park, K Song, M Ji, W Lee, IC Moon
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4699-4706, 2019
72019
Data-driven ballistic coefficient learning for future state prediction of high-speed vehicles
K Song, SH Kim, J Tak, HL Choi, IC Moon
2016 19th International Conference on Information Fusion (FUSION), 17-24, 2016
52016
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