LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning

Yoon-Yeong Kim, Kyungwoo Song, JoonHo Jang, and Il-Chul Moon , 2021 , Neural Information Processing Systems (NeurIPS 2021) , Dec 7-10 , Virtual Conference

Refine Myself by Teaching Myself : Feature Refinement via Self-Knowledge Distillation

Mingi Ji, Seungjae Shin, Seunghyun Hwang, Gibeom Park, and Il-Chul Moon , 2021 , Conference on Computer Vision and Pattern Recognition (CVPR 2021) , Jun 19-25 , Virtual Conference

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

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

Dirichlet Variational Autoencoder

Weonyoung Joo, Wonsung Lee, Sungrae Park, and Il-Chul Moon , 2020 , Nov , Pattern Recognition , 107 , 1-37

Layered Behavior Modeling via Combining Descriptive and Prescriptive Approaches: A Case Study of Infantry Company Engagement

Jang Won Bae, Junseok Lee, Do-Hyung Kim, Kanghoon Lee, Jongmin Lee, Kee-Eung Kim, and Il-Chul Moon , 2020 , Jul , IEEE Transactions on Systems, Man, and Cybernetics: Systems , 50 , 7 , 2551-2565

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 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

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

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

Evaluation of Disaster Response System Using Agent-Based Model With Geospatial and Medical Details

Jang Won Bae, Kyohong Shin, Hyun-Rok Lee, Hyun Jin Lee, Taesik Lee, Chu Hyun Kim, Won-Chul Cha, Gi Woon Kim, and Il-Chul Moon , 2018 , Sept , IEEE Transactions on Systems, Man, and Cybernetics: Systems , 48 , 9 , 1454-1469

Adversarial Dropout for Supervised and Semi-Supervised Learning

Sungrae Park, Jun-Keon Park, Su-Jin Shin, and Il-Chul Moon , 2018 , AAAI Conference on Artificial Intelligence (AAAI 2018) , Feb 2-7 , New Orleans , USA