International Conference Papers

Machine Learning 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

2021.09.30 07:28

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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

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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
66 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
» 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
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