Weonyoung Joo
Title
Cited by
Cited by
Year
Dirichlet variational autoencoder
W Joo, W Lee, S Park, IC Moon
Pattern Recognition 107, 107514, 2020
252020
Diagnosis Prediction via Medical Context Attention Networks Using Deep Generative Modeling
W Lee, S Park, W Joo, IC Moon
2018 IEEE International Conference on Data Mining (ICDM), 1104-1109, 2018
182018
Sequential Recommendation with Relation-Aware Kernelized Self-Attention
M Ji, W Joo, K Song, YY Kim, IC Moon
arXiv preprint arXiv:1911.06478, https://arxiv.org/abs/1911.06478, 2019
102019
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
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
42020
The layer number of α-evenly distributed point sets
I Choi, W Joo, M Kim
Discrete Mathematics 343 (10), 112029, 2020
32020
Generalized Gumbel-Softmax Gradient Estimator for Generic Discrete Random Variables
W Joo, D Kim, S Shin, I Moon
2*2020
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
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
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Articles 1–9