Frequency Domain-based Dataset Distillation

DongHyeok Shin, Seungjae Shin, and Il-Chul Moon , 2023 , Neural Information Processing Systems (NeurIPS 2023) , Dec 10-16 , New Orleans , USA

Hierarchical Multi-Label Classification with Partial Labels and Unknown Hierarchy

Suhyeon Jo, Donghyeok Shin, Byeonghu Na, JoonHo Jang, and Il-Chul Moon , 2023 , ACM International Conference on Information and Knowledge Management (CIKM 2023) , Oct 21-25 , Birmingham , United Kingdom

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

Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models

Dongjun Kim, Yeongmin Kim, Se Jung Kwon, 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

Time-Efficient Weapon-Target Assignment by Actor-Critic Reinforcement

Muhyun Byun, Hyungho Na, and Il-Chul Moon , 2023 , IEEE Conference on System, Man, and Cybernetics (SMC 2023) , Oct 1-4 , Mau, Hawaii , USA

Modeling and Calibrating Digital Twin of Automatic Garbage Collection System in Sejong City

Tae Sub Yun, Minsang Park, and Il-Chul Moon , 2023 , Annual Modeling and Simulation Conference (ANNSIM 2023) , May 23-26 , Ontario , Canada

Unsupervised Controllable Generation with Score-based Diffusion Models: Disentangled Latent Code Guidance

Yeongmin Kim, Dongjun Kim, HyeonMin Lee, and Il-Chul Moon , 2022 , Neural Information Processing Systems (NeurIPS 2022) , Nov 28-Dec 9 , New Orleans , USA

Improving Group-based Robustness and Calibration via Ordered Risk and Confidence Regularization

Seungjae Shin, Byeonghu Na, HeeSun Bae, JoonHo Jang, Hyemi Kim, Kyungwoo Song, Youngjae Cho, and Il-Chul Moon , 2022 , Workshop on Spurious Correlations, Invariance and Stability, International Conference on Machine Learning (ICML Workshop 2022) , Jul 22 , Baltimore , USA

Finance and Decreasing Business Dynamics: Using Macroeconomic Agent-Based Simulation

Tae-Sub Yun, Hanbit Lee, and Il-Chul Moon , 2022 , Social Simulation Conference (SSC 2022) , Sep 14 , Milan , Italy

Automatic Calibration Framework of Agent-Based Models for Dynamic and Heterogeneous Parameters

Dongjun Kim, Tae-Sub Yun, Il-Chul Moon, and Jang Won Bae , 2022 , International Conference on Autonomous Agent and Multi-Agent Systems (AAMAS 2022) , May 9 , Virtual Conference

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

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

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

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