Kunwoong Kim

According to our database, Kunwoong Kim authored at least 13 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Fair Bayesian Model-Based Clustering.

Jihu Lee, Kunwoong Kim, Yongdai Kim

CoRR, June, 2025

Fair Representation Learning for Continuous Sensitive Attributes Using Expectation of Integral Probability Metrics.

Insung Kong, Kunwoong Kim, Yongdai Kim

IEEE Trans. Pattern Anal. Mach. Intell., May, 2025

Fair Clustering via Alignment.

Kunwoong Kim, Jihu Lee, Sangchul Park, Yongdai Kim

CoRR, May, 2025

ReLU integral probability metric and its applications.

Yuha Park, Kunwoong Kim, Insung Kong, Yongdai Kim

CoRR, April, 2025

Fairness Through Matching.

Kunwoong Kim, Insung Kong, Jongjin Lee, Minwoo Chae, Sangchul Park, Yongdai Kim

Trans. Mach. Learn. Res., 2025

2024

ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models.

Dongha Kim, Jaesung Hwang, Jongjin Lee, Kunwoong Kim, Yongdai Kim

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

<i>L</i>_<i>q</i> regularization for fair artificial intelligence robust to covariate shift.

Seonghyeon Kim, Sara Kim, Kunwoong Kim, Yongdai Kim

Stat. Anal. Data Min., June, 2023

Improving Performance of Semi-Supervised Learning by Adversarial Attacks.

Dongyoon Yang, Kunwoong Kim, Yongdai Kim

CoRR, 2023

ODIM: an efficient method to detect outliers via inlier-memorization effect of deep generative models.

Dongha Kim, Jaesung Hwang, Jongjin Lee, Kunwoong Kim, Yongdai Kim

CoRR, 2023

2022

SLIDE: A surrogate fairness constraint to ensure fairness consistency.

Kunwoong Kim, Ilsang Ohn, Sara Kim, Yongdai Kim

Neural Networks, 2022

Learning fair representation with a parametric integral probability metric.

Dongha Kim, Kunwoong Kim, Insung Kong, Ilsang Ohn, Yongdai Kim

Proceedings of the International Conference on Machine Learning, 2022

2021

INN: A Method Identifying Clean-annotated Samples via Consistency Effect in Deep Neural Networks.

Dongha Kim, Yongchan Choi, Kunwoong Kim, Yongdai Kim

CoRR, 2021