Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder

Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, and Il-Chul Moon , 2021 , AAAI Conference on Artificial Intelligence (AAAI 2021) , Feb 2-9 , Virtual Conference

Implicit Kernel Attention

Kyungwoo Song, Yohan Jung, Dongjun Kim, and Il-Chul Moon , 2021 , AAAI Conference on Artificial Intelligence (AAAI 2021) , Feb 2-9 , Virtual Conference

FEWER: Federated Weight Recovery

Yongjin Shin, Gihun Lee, Seungjae Shin, Se-Young Yun, and Il-Chul Moon , 2020 , Workshop on DistributedML, CoNEXT Conference (CoNEXT Workshop 2020) , Dec 1 , Virtual Conference

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

Seungjae Shin, Kyungwoo Song, JoonHo Jang, Hyemi Kim, Weonyoung Joo, and Il-Chul Moon , 2020 , Findings of EMNLP (Findings@EMNLP 2020) , Nov 16-20 , Virtual Conference

Deep Generative Positive-Unlabeled Learning under Selection Bias

Byeonghu Na, Hyemi Kim, Kyungwoo Song, Weonyoung Joo, Yoon-Yeong Kim, and Il-Chul Moon , 2020 , ACM International Conference on Information and Knowledge Management (CIKM 2020) , Oct 19-23 , Virtual Conference

Sequential Recommendation with Relation-Aware Kernelized Self-Attention

Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, and Il-Chul Moon , 2020 , AAAI Conference on Artificial Intelligence (AAAI 2020) , Feb 7-12 , New York , USA

Hierarchically Clustered Representation Learning

Su-Jin Shin, Kyungwoo Song, and Il-Chul Moon , 2020 , AAAI Conference on Artificial Intelligence (AAAI 2020) , Feb 7-12 , New York , USA

Bivariate Beta-LSTM

Kyungwoo Song, JoonHo Jang, Seung jae Shin and Il-Chul Moon , 2020 , AAAI Conference on Artificial Intelligence (AAAI 2020) , Feb 7-12 , New York , USA

Hierarchical Prescription Pattern Analysis with Symptom Labels

Su-Jin Shin, Je-Yong Oh, Sungrae Park, Minki Kim, and Il-Chul Moon , 2015 , Workshop on Biological Data Mining and Its Applications in Healthcare, International Conference on Data Mining (ICDM Workshop 2020) , Nov 14-17 , Atlantic City , USA

Adversarial Dropout for Recurrent Neural Networks

Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, and Il-Chul Moon , 2019 , AAAI Conference on Artificial Intelligence (AAAI 2019) , Jan 27-Feb 1 , Hawaii , USA

Hierarchical Context enabled Recurrent Neural Network for Recommendation

Kyungwoo Song, Mingi Ji, Sungrae Park, and Il-Chul Moon , 2019 , AAAI Conference on Artificial Intelligence (AAAI 2019) , Jan 27-Feb 1 , Hawaii , USA

Diagnosis Prediction via Medical Context Attention Networks Using Deep Generative Modeling

Wonsung Lee, Sungrae Park, Weonyoung Joo, and Il-Chul Moon , 2018 , IEEE International Conference on Data Mining (ICDM 2018) , Nov 17-20 , Singapore , Singapore

Data-Driven Automatic Calibration for Validation of Agent-Based Social Simulations

Il-Chul Moon, Dongjun Kim, Tae-Sub Yun, Jang Won Bae, Dong-Oh Kang, and Euihyun Paik , 2018 , IEEE International Conference on Systems, Man, and Cybernetics 2018 (SMC 2018) , Oct 7-10 , Miyazaki , Japan

Black-Box Expectation-Maximization Algorithm for Estimating Latent States of High-Speed Vehicles

Yoon-Yeong Kim, Wonsung Lee, and Il-Chul Moon , 2018 , International Conference on Control, Automation and Systems (ICCAS 2018) , Oct 17–20 , PyeongChang , South Korea

Ballistic Coefficient Estimation with Gaussian Process Particle Filter

Il-Chul Moon, Jinhyung Tak, Sang-Hyeon Kim, and Kyungwoo Song , 2018 , International Conference on Control, Automation and Systems (ICCAS 2018) , Oct 17–20 , PyeongChang , South Korea