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
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
57 Yongjin Shin, Gihun Lee, Seungjae Shin, Se-Young Yun, Il-Chul Moon, FEWER:Federated Weight Recovery, Workshop on DistributedML, CoNEXT 2020, Virtual Conference, 2020 file
56 Seungjae Shin, Kyungwoo Song, JoonHo Jang, Hyemi Kim, Weonyoung Joo, Il-Chul Moon, Neutralizing Gender Bias in Word Embeddings with Latent Disentanglement and Counterfactual Generation, Findings of EMNLP (Findings@EMNLP 2020), 2020 file
55 Byeonghu Na, Hyemi Kim, Kyungwoo Song, Weonyoung Joo, Yoon-Yeong Kim, and Il-Chul Moon, Deep Generative Positive-Unlabeled Learning under Selection Bias, ACM International Conference on Information and Knowledge Management (CIKM 2020), 2020 file
54 Tae-Sub Yun, Young-Chul Kim, Ki-Sung Jin, and Il-Chul Moon, AGENT-BASED MODELING AND SIMULATION ON RESIDENTIAL POPULATION MOVEMENT PATTERNS: THE CASE OF SEJONG CITY, Proceedings of the 2020 Winter Simulation Conference (WinterSim 2020), Dec 13-16 file
53 Tae-Sub Yun and Il-Chul Moon, Housing Market Agent Based Simulation with Loan-To-Value and Debt-To-Income, International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2019), Torino, Italy, Oct 28-31. file
52 Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, and Il-Chul Moon, Sequential Recommendation with Relation-Aware Kernelized Self-Attention​. AAAI Conference on Artificial Intelligence (AAAI 2020). New York. Feb. 7-12 file
51 Su-Jin Shin, Kyungwoo Song, and Il-Chul Moon, Hierarchically Clustered Representation Learning, AAAI Conference on Artificial Intelligence (AAAI 2020). New York. Feb. 7-12 file