Kim, Dongha

7 publications

AAAI 2025 ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect Seoyoung Cho, Jaesung Hwang, Kwan-Young Bak, Dongha Kim

AAAI 2024 IOFM: Using the Interpolation Technique on the Over-Fitted Models to Identify Clean-Annotated Samples Dongha Kim, Yongchan Choi, Kunwoong Kim, Ilsang Ohn, Yongdai Kim

ICML 2024 ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models Dongha Kim, Jaesung Hwang, Jongjin Lee, Kunwoong Kim, Yongdai Kim

JMLR 2023 A Likelihood Approach to Nonparametric Estimation of a Singular Distribution Using Deep Generative Models Minwoo Chae, Dongha Kim, Yongdai Kim, Lizhen Lin

ICML 2022 Learning Fair Representation with a Parametric Integral Probability Metric Dongha Kim, Kunwoong Kim, Insung Kong, Ilsang Ohn, Yongdai Kim

AAAI 2021 Kernel-Convoluted Deep Neural Networks with Data Augmentation Minjin Kim, Young-geun Kim, Dongha Kim, Yongdai Kim, Myunghee Cho Paik

AISTATS 2020 On Casting Importance Weighted Autoencoder to an EM Algorithm to Learn Deep Generative Models Dongha Kim, Jaesung Hwang, Yongdai Kim