Kunwoong Kim

According to our database, Kunwoong Kim authored at least 8 papers between 2021 and 2024.

Collaborative distances:

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

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