Kim, Heeyoung

12 publications

ICCV 2025 Learnable Logit Adjustment for Imbalanced Semi-Supervised Learning Under Class Distribution Mismatch Hyuck Lee, Taemin Park, Heeyoung Kim

NeurIPS 2025 Uncertainty Estimation by Flexible Evidential Deep Learning Taeseong Yoon, Heeyoung Kim

CVPR 2024 CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning Hyuck Lee, Heeyoung Kim

ECCV 2024 Rebalancing Using Estimated Class Distribution for Imbalanced Semi-Supervised Learning Under Class Distribution Mismatch Taemin Park, Hyuck Lee, Heeyoung Kim

ICML 2024 Uncertainty Estimation by Density Aware Evidential Deep Learning Taeseong Yoon, Heeyoung Kim

AAAI 2023 Inverse-Reference Priors for Fisher Regularization of Bayesian Neural Networks Keunseo Kim, Eun-Yeol Ma, Jeongman Choi, Heeyoung Kim

NeurIPS 2021 ABC: Auxiliary Balanced Classifier for Class-Imbalanced Semi-Supervised Learning Hyuck Lee, Seungjae Shin, Heeyoung Kim

NeurIPS 2021 Locally Most Powerful Bayesian Test for Out-of-Distribution Detection Using Deep Generative Models Keunseo Kim, JunCheol Shin, Heeyoung Kim

ICML 2021 Objective Bound Conditional Gaussian Process for Bayesian Optimization Taewon Jeong, Heeyoung Kim

NeurIPS 2020 OOD-MAML: Meta-Learning for Few-Shot Out-of-Distribution Detection and Classification Taewon Jeong, Heeyoung Kim

ICML 2019 Ladder Capsule Network Taewon Jeong, Youngmin Lee, Heeyoung Kim

IJCAI 2016 Bayesian Nonparametric Collaborative Topic Poisson Factorization for Electronic Health Records-Based Phenotyping Wonsung Lee, Youngmin Lee, Heeyoung Kim, Il-Chul Moon