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Showing results 1 to 6 of 6

1
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder

Kim, Hyemi; Shin, Seungjae; Jang, JoonHo; Song, Kyungwoo; Joo, Weonyoung; Kang, Wanmo; Moon, Il-Chul, AAAI Conference on Artificial Intelligence (AAAI 2021), pp.8128 - 8136, AAAI, 2021-02-09

2
Deep Generative Positive-Unlabeled Learning under Selection Bias

Na, Byeonghu; Kim, Hyemi; Song, Kyungwoo; Joo, Weonyoung; Kim, Yoonyeong; Moon, Il-Chul, 29th ACM International Conference on Information and Knowledge Management, CIKM 2020, pp.1155 - 1164, Association for Computing Machinery, 2020-10-19

3
Diagnosis Prediction via Medical Context Attention Networks Using Deep Generative Modeling

Lee, Wonsung; Park, Sungrae; Joo, Weonyoung; Moon, Il-Chul, 18th IEEE International Conference on Data Mining, ICDM 2018, pp.1104 - 1109, Institute of Electrical and Electronics Engineers Inc., 2018-11-17

4
Loss-Curvature Matching for Dataset Selection and Condensation

Shin, Seungjae; Bae, Heesun; Shin, Donghyeok; Joo, Weonyoung; Moon, Il-Chul, 26th International Conference on Artificial Intelligence and Statistics, AISTATS 2023, pp.8606 - 8628, ML Research Press, 2023-04-25

5
Neutralizing Gender Bias in Word Embeddings with Latent Disentanglement and Counterfactual Generation

Shin, Seungjae; Song, Kyungwoo; Jang, JoonHo; Kim, Hyemi; Joo, Weonyoung; Moon, Il-Chul, Empirical Methods in Natural Language Processing conference (EMNLP) 2020, pp.3126 - 3140, Association for Computational Linguistics, 2020-11-20

6
Sequential Recommendation with Relation-Aware Kernelized Self-Attention

Ji, Mingi; Joo, Weonyoung; Song, Kyungwoo; Kim, Yoon-Yeong; Moon, Il-Chul, AAAI Conference on Artificial Intelligence (AAAI 2020), pp.4304 - 4311, AAAI Conference on Artificial Intelligence, 2020-02-07

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