Kunwoong Kim

20 papers A* 5Journal 15
YearRankTypeTitle / Venue / Authors
2026 A* conf
Fair Model-based Clustering.
AAAI
Jinwon Park, Kunwoong Kim, Jihu Lee, Yongdai Kim
2026 J jnl
Fair Model-based Clustering.
CoRR
Jinwon Park, Kunwoong Kim, Jihu Lee, Yongdai Kim
2025 J jnl
Doubly-Regressing Approach for Subgroup Fairness.
CoRR
Kyungseon Lee, Kunwoong Kim, Jihu Lee, Dongyoon Yang, Yongdai Kim
2025 J jnl
Fair Bayesian Model-Based Clustering.
CoRR
Jihu Lee, Kunwoong Kim, Yongdai Kim
2025 A* conf
Fair Clustering via Alignment.
ICML
Kunwoong Kim, Jihu Lee, Sangchul Park, Yongdai Kim
2025 J jnl
Fair Clustering via Alignment.
CoRR
Kunwoong Kim, Jihu Lee, Sangchul Park, Yongdai Kim
2025 J jnl
Fair Representation Learning for Continuous Sensitive Attributes Using Expectation of Integral Probability Metrics.
IEEE Trans. Pattern Anal. Mach. Intell.
Insung Kong, Kunwoong Kim, Yongdai Kim
2025 J jnl
Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability Metrics.
CoRR
Insung Kong, Kunwoong Kim, Yongdai Kim
2025 J jnl
Fairness Through Matching.
CoRR
Kunwoong Kim, Insung Kong, Jongjin Lee, Minwoo Chae, Sangchul Park, Yongdai Kim
2025 J jnl
Fairness Through Matching.
Trans. Mach. Learn. Res.
Kunwoong Kim, Insung Kong, Jongjin Lee, Minwoo Chae, Sangchul Park, Yongdai Kim
2025 J jnl
ReLU integral probability metric and its applications.
CoRR
Yuha Park, Kunwoong Kim, Insung Kong, Yongdai Kim
2024 A* conf
IOFM: Using the Interpolation Technique on the Over-Fitted Models to Identify Clean-Annotated Samples.
AAAI
Dongha Kim, Yongchan Choi, Kunwoong Kim, Ilsang Ohn, Yongdai Kim
2024 A* conf
ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models.
ICML
Dongha Kim, Jaesung Hwang, Jongjin Lee, Kunwoong Kim, Yongdai Kim
2023 J jnl
Improving Performance of Semi-Supervised Learning by Adversarial Attacks.
CoRR
Dongyoon Yang, Kunwoong Kim, Yongdai Kim
2023 J jnl
ODIM: an efficient method to detect outliers via inlier-memorization effect of deep generative models.
CoRR
Dongha Kim, Jaesung Hwang, Jongjin Lee, Kunwoong Kim, Yongdai Kim
2022 A* conf
Learning fair representation with a parametric integral probability metric.
ICML
Dongha Kim, Kunwoong Kim, Insung Kong, Ilsang Ohn, Yongdai Kim
2022 J jnl
Learning fair representation with a parametric integral probability metric.
CoRR
Dongha Kim, Kunwoong Kim, Insung Kong, Ilsang Ohn, Yongdai Kim
2022 J jnl
SLIDE: A surrogate fairness constraint to ensure fairness consistency.
Neural Networks
Kunwoong Kim, Ilsang Ohn, Sara Kim, Yongdai Kim
2022 J jnl
SLIDE: a surrogate fairness constraint to ensure fairness consistency.
CoRR
Kunwoong Kim, Ilsang Ohn, Sara Kim, Yongdai Kim
2021 J jnl
INN: A Method Identifying Clean-annotated Samples via Consistency Effect in Deep Neural Networks.
CoRR
Dongha Kim, Yongchan Choi, Kunwoong Kim, Yongdai Kim