SAAL: Sharpness-Aware Active Learning

Yoon-Yeong Kim, Youngjae Cho, JoonHo Jang, Byeonghu Na, Yeongmin Kim, Kyungwoo Song, Wanmo Kang, and Il-Chul Moon , 2023 , International Conference on Machine Learning (ICML 2023) , Jul 25-27 , Hawaii , USA

Loss Curvature Matching for Dataset Selection and Condensation

Seungjae Shin, Heesun Bae, DongHyeok Shin, Weonyoung Joo, and Il-Chul Moon , 2023 , International Conference on Artificial Intelligence and Statistics (AISTATS 2023) , Apr 25-27 , Valencia , Spain

Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation

JoonHo Jang, Byeonghu Na, Dong Hyeok Shin, Mingi Ji, Kyungwoo Song, and Il-Chul Moon , 2022 , Neural Information Processing Systems (NeurIPS 2022) , Nov 28- Dec 9 , New Orleans , USA

Maximum Likelihood Training of Implicit Nonlinear Diffusion Model

Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, and Il-Chul Moon , 2022 , Neural Information Processing Systems (NeurIPS 2022) , Nov 28-Dec 9 , New Orleans , USA

Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation

Dongjun Kim, Seungjae Shin, Kyungwoo Song, Wanmo Kang, and Il-Chul Moon , 2022 , International Conference on Machine Learning (ICML 2022) , Jul 17 , Baltimore , USA

From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model

HeeSun Bae, Seungjae Shin, Byeonghu Na, JoonHo Jang, and Il-Chul Moon , 2022 , International Conference on Machine Learning (ICML 2022) , Jul 17 , Baltimore , USA

Automatic calibration of dynamic and heterogeneous parameters in agent-based models

Dong-Jun Kim, Tae-Sub Yun, Il-Chul Moon, and Jang Won Bae , 2021 , Aug , Autonomous Agents and Multi-Agent Systems , 35 , 2

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