Training Unbiased Diffusion Models From Biased Dataset
Yeongmin Kim, Byeonghu Na, JoonHo Jang, Minsang Park, Dongjun Kim, Wanmo Kang, Il-Chul Moon , 2024 , International Conference on Learning Representations (ICLR 2024) , May 7-11 , Vienna , Austria
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning
HeeSun Bae, Seungjae Shin, Byeonghu Na, and Il-Chul Moon , 2024 , International Conference on Learning Representations (ICLR 2024) , May 7-11 , Vienna , Austria
Label-Noise Robust Diffusion Models
Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, and Il-Chul Moon , 2024 , International Conference on Learning Representations (ICLR 2024) , May 7-11 , Vienna , Austria
Unknown Domain Inconsistency Minimization for Domain Generalization
Seungjae Shin, Heesun Bae, Byeonghu Na, Yoon-Yeong Kim, and Il-Chul Moon , 2024 , International Conference on Learning Representations (ICLR 2024) , May 7-11 , Vienna , Austria
Make Prompts Adaptable : Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior
Youngjae Cho, HeeSun Bae, Seungjae Shin, YeoDong Youn, Weonyoung Joo, and Il-Chul Moon , 2024 , AAAI Conference on Artificial Intelligence (AAAI 2024) , Feb 22-25 , Vancouver , Canada
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 , 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, 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