DPO-Finetuned Large Multi-Modal Planner with Retrieval-Augmented Generation

Kwanghyeon Lee, Mina Kang, Hyungho Na, Heesun Bae, Byeonghu Na, Doyun Kwon, Seungjae Shin, Yeongmin Kim, Taewoo Kim, Seungmin Yun, Il-Chul Moon , 2024 , Multi-modal Foundation Model meets Embodied AI Workshop, ICML2024 , Jul 26 , Vienna , Austria

DEVS-Based Simulation Acceleration for AI Training: Unmanned Surface Vehicle Case

Juho Choi, Jang Won Bae, and Il-Chul Moon , 2024 , Winter Simulation Conference (WSC2024) , Dec 15-18 , Orlando , USA

Reward-based Input Construction for Cross-document Relation Extraction

Byeonghu Na, Suhyeon Jo, Yeongmin Kim, and Il-Chul Moon , 2024 , Annual Meeting of the Association for Computational Linguistics (ACL 2024) , Aug 11-16 , Bangkok , Thailand

Diffusion Rejection Sampling

Byeonghu Na, Yeongmin Kim, Minsang Park, Donghyeok Shin, Wanmo Kang, and Il-Chul Moon , 2024 , International Conference on Machine Learning (ICML 2024) , Jul 21-27 , Vienna , Austria

LAGMA: LAtent Goal-guided Multi-agent Reinforcement Learning,

Hyungho Na and Il-Chul Moon , 2024 , International Conference on Machine Learning (ICML 2024) , Jul 21-27 , Vienna , Austria

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