Min-Kook Suh

According to our database, Min-Kook Suh authored at least 6 papers between 2022 and 2025.

Collaborative distances:

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

2025

MultiTab: A Comprehensive Benchmark Suite for Multi-Dimensional Evaluation in Tabular Domains.

Kyungeun Lee, Moonjung Eo, Hye-Seung Cho, Dongmin Kim, Ye Seul Sim, Seoyoon Kim, Min-Kook Suh, Woohyung Lim

CoRR, May, 2025

Range-limited Augmentation for Few-shot Learning in Tabular Data with Comprehensive Benchmark.

Kyungeun Lee, Moonjung Eo, Hye-Seung Cho, Min-Kook Suh, Seoyoon Kim, Ye Seul Sim, Suhee Yoon, Sanghyu Yoon, Woohyung Lim

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

2024

Interpreting Adaptive Gradient Methods by Parameter Scaling for Learning-Rate-Free Optimization.

Min-Kook Suh, Seung-Woo Seo

CoRR, 2024

2023

Aggregation of Masked Outputs for Improving Accuracy-Cost Trade-Off in Semantic Segmentation.

Min-Kook Suh, Seung-Woo Seo

IEEE Access, 2023

Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels.

Min-Kook Suh, Seung-Woo Seo

Proceedings of the International Conference on Machine Learning, 2023

2022

AFF-CAM: Adaptive Frequency Filtering Based Channel Attention Module.

Dongwook Yang, Min-Kook Suh, Seung-Woo Seo

Proceedings of the Computer Vision - ACCV 2022, 2022