International Conference Papers


Seungjae Shin, Byeonghu Na, HeeSun Bae, JoonHo Jang, Hyemi Kim, Kyungwoo Song, Youngjae Cho, Il-Chul Moon, Improving Group-based Robustness and Calibration via Ordered Risk and Confidence Regularization, Workshop on Spurious Correlations, Invariance and Stability, ICML 2022, Baltimore, US, Jul 22

No. Subject
77 DongHyeok Shin, Seungjae Shin, Il-Chul Moon, Frequency Domain-based Dataset Distillation, Neural Information Processing Systems (NeurIPS 2023), New Orleans, USA, Dec 10-Dec 16, 2023 file
76 Suhyeon Jo, Donghyeok Shin, Byeonghu Na, JoonHo Jang, and Il-Chul Moon, Hierarchical Multi-Label Classification with Partial Labels and Unknown Hierarchy, ACM International Conference on Information and Knowledge Management (CIKM 2023) file
75 Muhyun Byun, Hyungho Na, IL-Chul Moon, Time-Efficient Weapon-Target Assignment by Actor-Critic Reinforcement, IEEE Conference on System, Man, and Cybernetics (SMC 2023), Maui, Hawaii, USA, Oct 1-4, 2023 file
74 Yoon-Yeong Kim, Youngjae Cho, JoonHo Jang, Byeonghu Na, Yeongmin Kim, Kyungwoo Song, Wanmo Kang, Il-Chul Moon, SAAL: Sharpness-Aware Active Learning, International Conference on Machine Learning (ICML 2023), Hawaii, USA, Jul 25-27, 2023 file
73 Dongjun Kim, Yeongmin Kim, Se Jung Kwon, Wanmo Kang, Il-Chul Moon, Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models, International Conference on Machine Learning (ICML 2023), Hawaii, USA, Jul 25-27, 2023 file
72 Tae-Sub Yun, Minsang Park, Il-Chul Moon, Modeling and Calibrating Digital Twin of Automatic Garbage Collection System in Sejong City, Annual Modeling and Simulation Conference (ANNSIM 2023), Ontario, Canada, May 23-26, 2023 file
71 Seungjae Shin, Heesun Bae, DongHyeok Shin, Weonyoung Joo, Il-Chul Moon, Loss Curvature Matching for Dataset Selection and Condensation, International Conference on Artificial Intelligence and Statistics (AISTATS 23), Valencia, Spain, Apr 25-27, 2023 file
70 Yeongmin Kim, Dongjun Kim, HyeonMin Lee, Il-Chul Moon, Unsupervised Controllable Generation with Score-based Diffusion Models: Disentangled Latent Code Guidance, Workshop on Score-Based Methods, Neural Information Processing Systems (NeurIPS 2022) file
69 Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-Chul Moon, Maximum Likelihood Training of Implicit Nonlinear Diffusion Model, Neural Information Processing Systems (NeurIPS 2022), New Orleans, USA, Nov 28-Dec 9, 2022 file
68 JoonHo Jang, Byeonghu Na, Dong Hyeok Shin, Mingi Ji, Kyungwoo Song, Il-Chul Moon, Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation, Neural Information Processing Systems (NeurIPS 2022), New Orleans, USA, Nov 28-Dec 9, 2022 file
67 Tae-Sub Yun, Hanbit Lee, and Il-Chul Moon, Finance and Decreasing Business Dynamics: Using Macroeconomic Agent-Based Simulation, Social Simulation Conference (SSC 2022), Milan, Italy, Sep 14 file
» Seungjae Shin, Byeonghu Na, HeeSun Bae, JoonHo Jang, Hyemi Kim, Kyungwoo Song, Youngjae Cho, Il-Chul Moon, Improving Group-based Robustness and Calibration via Ordered Risk and Confidence Regularization, Workshop on Spurious Correlations, file
65 HeeSun Bae, Seungjae Shin, Byeonghu Na, JoonHo Jang, Kyungwoo Song, Il-Chul Moon, From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model, International Conference on Machine Learning (ICML 2022) file
64 Dongjun Kim, Seungjae Shin, Kyungwoo Song, Wanmo Kang, Il-Chul Moon, Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation, International Conference on Machine Learning (ICML 2022) file
63 Dongjun Kim, Tae-Sub Yun, Il-Chul Moon, Jang Won Bae, Automatic Calibration Framework of Agent-Based Models for Dynamic and Heterogeneous Parameters, International Conference on Autonomous Agent and Multi-Agent Systems (AAMAS 2022), Virtual, May 9 file
62 Mu Hyun Byun, Il-Chul Moon, Categorization of AI-Enabled Command and Control in Ballistic Missile Defense, International Command and Control Research and Technology Symposium (ICCRTS 2021), Oct 18, 2021 file
61 Yooon-Yeong Kim, Kyungwoo Song, JoonHo Jang, Il-chul Moon, LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning, Neural Information Processing Systems (NeurIPS 2021), Virtual, Dec. 7-10, 2021 file
60 Mingi Ji, Seungjae Shin, Seunghyun Hwang, Gibeom Park, Il-Chul Moon. Refine Myself by Teaching Myself : Feature Refinement via Self-Knowledge Distillation. Conference on Computer Vision and Pattern Recognition (CVPR 2021). file
59 Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, and Il-Chul Moon, Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder, AAAI Conference on Artificial Intelligence (AAAI 2021) file
58 Kyungwoo Song, Yohan Jung, Dongjun Kim, and Il-Chul Moon, Implicit Kernel Attention, AAAI Conference on Artificial Intelligence (AAAI 2021), Virtual Conference, Feb. 2-9 file