Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning

Hyungho Na, Yunkyeong Seo, and Il-Chul Moon , 2024 , International Conference on Learning Representations (ICLR 2024) , May 7-11 , Vienna , Austria

Training Unbiased Diffusion Models From Biased Dataset

Yeongmin Kim, Byeonghu Na, JoonHo Jang, Minsang Park, Dongjun Kim, Wanmo Kang, and 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 (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

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

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

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