Kyungwoo Song
제목
인용
인용
연도
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
402017
Hierarchical Context enabled Recurrent Neural Network for Recommendation
K Song, M Ji, S Park, IC Moon
Thirty-Third AAAI Conference on Artificial Intelligence, 2019
122019
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
102020
Counterfactual fairness with disentangled causal effect variational autoencoder
H Kim, S Shin, JH Jang, K Song, W Joo, W Kang, IC Moon
arXiv preprint arXiv:2011.11878, 2020
82020
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 (3), 1282-1292, 2018
72018
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
62020
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
52020
Hierarchically clustered representation learning
SJ Shin, K Song, IC Moon
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5776-5783, 2020
52020
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
Score Matching Model for Unbounded Data Score
D Kim, S Shin, K Song, W Kang, IC Moon
arXiv preprint arXiv:2106.05527, 2021
32021
Implicit Kernel Attention
K Song, Y Jung, D Kim, IC Moon
arXiv preprint arXiv:2006.06147, 2020
32020
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
32019
Sequential Likelihood-Free Inference with Implicit Surrogate Proposal
D Kim, K Song, YY Kim, Y Shin, W Kang, IC Moon
arXiv preprint arXiv:2010.07604, 2020
22020
Neural Ideal Point Estimation Network
K Song, W Lee, IC Moon
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
22018
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
12020
Approximate Inference for Spectral Mixture Kernel
Y Jung, K Song, J Park
arXiv preprint arXiv:2006.07036, 2020
12020
Adversarial Likelihood-Free Inference on Black-Box Generator
D Kim, W Joo, S Shin, K Song, IC Moon
arXiv preprint arXiv:2004.05803, 2020
12020
Identifying the evolution of disasters and responses with network-text analysis
K Song, DH Kim, SJ Shin, IC Moon
2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2014
12014
LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning
YY Kim, K Song, JH Jang, I Moon
Thirty-Fifth Conference on Neural Information Processing Systems, 2021
2021
Posterior-Aided Regularization for Likelihood-Free Inference
D Kim, K Song, S Shin, W Kang, IC Moon
arXiv preprint arXiv:2102.07770, 2021
2021
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학술자료 1–20