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

Categorization of AI-Enabled Command and Control in Ballistic Missile Defense

Mu Hyun Byun, and Il-Chul Moon , 2021 , International Command and Control Research and Technology Symposium (ICCRTS 2021) , Oct 18 , 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

Agent-Based Modeling and Simulation on Residential Population Movement Patterns: The Case of Sejong City

Tae-Sub Yun, Young-Chul Kim, Ki-Sung Jin, and Il-Chul Moon , 2020 , Winter Simulation Conference (WSC 2020) , Dec 13-16 , Orlando , 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