ARES: Auxiliary Range Expansion for Out-of-Distribution Detection

Eui-Soo Jung, Hae-Hun Seo, Hyun-Woo Jung, Je-Geon Oh, and Yoon-Yeong Kim

Explainable Outlier Generation for Out-of-Distribution Detection

Jinwon Lee, Taehun Lee, Jonghyeok Ahn, and Yoon-Yeong Kim

Hybrid Query Strategy with Diversity-Weighted Metropolis-Adjusted Langevin Algorithm

Minyoung Baeg, and Yoon-Yeong Kim

Unknown Domain Inconsistency Minimization for Domain Generalization

Seungjae Shin, Heesun Bae, Byeonghu Na, Yoon-Yeong Kim, and Il-Chul Moon

International Conference on Learning Representations (ICLR), 2024

SAAL: Sharpness-Aware Active Learning

Yoon-Yeong Kim*, Youngjae Cho*, JoonHo Jang, Byeonghu Na, Yeongmin Kim, Kyungwoo Song, Wanmo Kang, and Il-Chul Moon

International Conference on Machine Learning (ICML), 2023

LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning

Yoon-Yeong Kim, Kyungwoo Song, JoonHo Jang, and Il-Chul Moon

Neural Information Processing Systems (NeurIPS), 2021

Deep Generative Positive-Unlabeled Learning under Selection Bias

Byeonghu Na, Hyemi Kim, Kyungwoo Song, Weonyoung Joo, Yoon-Yeong Kim, and Il-Chul Moon

ACM International Conference on Information and Knowledge Management (CIKM), 2020.

Sequential Recommendation with Relation-Aware Kernelized Self-Attention

Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, and Il-Chul Moon

AAAI Conference on Artificial Intelligence (AAAI), 2020.

Automatic Seed Word Selection for Topic Modeling

Dahyun Jeong, Jeongin Hwang, Yunjin Choi, and Yoon-Yeong Kim

IEEE Access, 2025.

Sequential Likelihood-Free Inference with Neural Proposal

Dongjun Kim, Kyungwoo Song, Yoon-Yeong Kim, Yongjin Shin, Wanmo Kang, Il-Chul Moon, Weonyoung Joo

Pattern Recognition Letters, Volume 169, 2023, Pages 102-109.

Black-Box Expectation-Maximization Algorithm for Estimating Latent States of High-Speed Vehicles

Yoon-Yeong Kim, Hyemi Kim, Wonsung Lee, Han-Lim Choi and Il-Chul Moon

Journal of Aerospace Information Systems, 18.4: 175-1921-5, 2021.