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 (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, 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

Time-Efficient Weapon-Target Assignment by Actor-Critic Reinforcement

Muhyun Byun, Hyungho Na, and Il-Chul Moon , 2023 , IEEE Conference on System, Man, and Cybernetics (SMC 2023) , Oct 1-4 , Mau, Hawaii , USA

Modeling and Calibrating Digital Twin of Automatic Garbage Collection System in Sejong City

Tae Sub Yun, Minsang Park, and Il-Chul Moon , 2023 , Annual Modeling and Simulation Conference (ANNSIM 2023) , May 23-26 , Ontario , Canada

Unsupervised Controllable Generation with Score-based Diffusion Models: Disentangled Latent Code Guidance

Yeongmin Kim, Dongjun Kim, HyeonMin Lee, and Il-Chul Moon , 2022 , Neural Information Processing Systems (NeurIPS 2022) , Nov 28-Dec 9 , New Orleans , USA

Improving Group-based Robustness and Calibration via Ordered Risk and Confidence Regularization

Seungjae Shin, Byeonghu Na, HeeSun Bae, JoonHo Jang, Hyemi Kim, Kyungwoo Song, Youngjae Cho, and Il-Chul Moon , 2022 , Workshop on Spurious Correlations, Invariance and Stability, International Conference on Machine Learning (ICML Workshop 2022) , Jul 22 , Baltimore , USA

Finance and Decreasing Business Dynamics: Using Macroeconomic Agent-Based Simulation

Tae-Sub Yun, Hanbit Lee, and Il-Chul Moon , 2022 , Social Simulation Conference (SSC 2022) , Sep 14 , Milan , Italy

Automatic Calibration Framework of Agent-Based Models for Dynamic and Heterogeneous Parameters

Dongjun Kim, Tae-Sub Yun, Il-Chul Moon, and Jang Won Bae , 2022 , International Conference on Autonomous Agent and Multi-Agent Systems (AAMAS 2022) , May 9 , Virtual Conference