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Advancing Model Explainability: Visual Concept Knowledge Distillation for Concept Bottleneck Models

This study explores the integration of concept bottleneck models (CBMs) with knowledge distillation (KD) while preserving the locality characteristics of the CBM. Although KD proves effective in model compression, compressed models often lack interpretability in their decision-making process. We enh...

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Hauptverfasser: Ju-Hwan Lee, Dang Thanh Vu, Nam-Kyung Lee, Il-Hong Shin, Jin-Young Kim
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2025-01-01
Schriftenreihe:Applied Sciences
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Online-Zugang:https://www.mdpi.com/2076-3417/15/2/493
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