Kyu-Sung Jeon — accepted AI-conference papers

2025

Comprehensive Information Bottleneck for Unveiling Universal Attribution to Interpret Vision Transformers

Jung-Ho Hong, Ho-Joong Kim, Kyu-Sung Jeon, Seong-Whan Lee

CVPR 2025highlight

The feature attribution method reveals the contribution of input variables to the decision-making process to provide an attribution map for explanation. Existing methods grounded on the information bottleneck principle compute information in a specific layer to obtain attributions, compressing the f…

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2023

Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance

Jung-Ho Hong, Woo-Jeoung Nam, Kyu-Sung Jeon, Seong-Whan Lee

AAAI 2023technical

Revealing the transparency of Deep Neural Networks (DNNs) has been widely studied to describe the decision mechanisms of network inner structures. In this paper, we propose a novel post-hoc framework, Unfold and Conquer Attribution Guidance (UCAG), which enhances the explainability of the network de…

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