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
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
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
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
LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning
Yoon-Yeong Kim, Kyungwoo Song, JoonHo Jang, and Il-Chul Moon , 2021 , Neural Information Processing Systems (NeurIPS 2021) , Dec 7-10 , Virtual Conference
Refine Myself by Teaching Myself : Feature Refinement via Self-Knowledge Distillation
Mingi Ji, Seungjae Shin, Seunghyun Hwang, Gibeom Park, and Il-Chul Moon , 2021 , Conference on Computer Vision and Pattern Recognition (CVPR 2021) , Jun 19-25 , Virtual Conference
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder
Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, and Il-Chul Moon , 2021 , AAAI Conference on Artificial Intelligence (AAAI 2021) , Feb 2-9 , Virtual Conference
Implicit Kernel Attention
Kyungwoo Song, Yohan Jung, Dongjun Kim, and Il-Chul Moon , 2021 , AAAI Conference on Artificial Intelligence (AAAI 2021) , Feb 2-9 , Virtual Conference
Deep Generative Positive-Unlabeled Learning under Selection Bias
Byeonghu Na, Hyemi Kim, Kyungwoo Song, Weonyoung Joo, Yoon-Yeong Kim, and Il-Chul Moon , 2020 , ACM International Conference on Information and Knowledge Management (CIKM 2020) , Oct 19-23 , Virtual Conference