Código QR (código de barras bidimensional)

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...

תיאור מלא

שמור ב:
Principais autores: Ju-Hwan Lee, Dang Thanh Vu, Nam-Kyung Lee, Il-Hong Shin, Jin-Young Kim
פורמט: Artigo
שפה:Inglês
יצא לאור: MDPI AG 2025-01-01
סדרה:Applied Sciences
נושאים:
concept bottleneck models
knowledge distillation
explainable AI
interpretability
גישה מקוונת:https://www.mdpi.com/2076-3417/15/2/493
תגים: הוספת תג
אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!

פריטים דומים