Kunwoong Kim

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 9

Top Topics

Regularization Framework

Generative Model

Covariate Shift

Parametric Representation

Top Venues

Stat. Anal. Data Min.

Publications

Dongha Kim, Yongchan Choi, Kunwoong Kim, Ilsang Ohn, Yongdai Kim
IOFM: Using the Interpolation Technique on the Over-Fitted Models to Identify Clean-Annotated Samples. AAAI (2024)
Dongha Kim, Jaesung Hwang, Jongjin Lee, Kunwoong Kim, Yongdai Kim
ODIM: an efficient method to detect outliers via inlier-memorization effect of deep generative models. CoRR (2023)
Dongyoon Yang, Kunwoong Kim, Yongdai Kim
Improving Performance of Semi-Supervised Learning by Adversarial Attacks. CoRR (2023)
Seonghyeon Kim, Sara Kim, Kunwoong Kim, Yongdai Kim
regularization for fair artificial intelligence robust to covariate shift. Stat. Anal. Data Min. 16 (3) (2023)
Dongha Kim, Kunwoong Kim, Insung Kong, Ilsang Ohn, Yongdai Kim
Learning fair representation with a parametric integral probability metric. CoRR (2022)
Kunwoong Kim, Ilsang Ohn, Sara Kim, Yongdai Kim
SLIDE: a surrogate fairness constraint to ensure fairness consistency. CoRR (2022)
Kunwoong Kim, Ilsang Ohn, Sara Kim, Yongdai Kim
SLIDE: A surrogate fairness constraint to ensure fairness consistency. Neural Networks 154 (2022)
Dongha Kim, Kunwoong Kim, Insung Kong, Ilsang Ohn, Yongdai Kim
Learning fair representation with a parametric integral probability metric. ICML (2022)
Dongha Kim, Yongchan Choi, Kunwoong Kim, Yongdai Kim
INN: A Method Identifying Clean-annotated Samples via Consistency Effect in Deep Neural Networks. CoRR (2021)