Effective Model Replacement for Solving Objective Mismatches in Pre-trained Model Compositions

• Published in: Proceedings / Asia Pacific Software Engineering Conference pp. 131 - 140
• Main Authors: Kharel, Arogya, Baek, KyeongDeok, Ko, In-Young
• Format: Conference Proceeding
• Language: English
• Published: IEEE 03.12.2024
• Subjects: Distribution Shift; Focusing; Inference algorithms; Machine learning; Objective Mismatch; Pre-trained Model Composition; Prediction algorithms; Predictive models; Proposals; Software engineering; Software Engineering for AI; Training; Vehicle detection; Vehicle dynamics

Pre-trained models (PTMs) have revolutionized machine learning by significantly enhancing reusability and reducing resources required for model training. Despite their advantages, selecting appropriate PTMs for specific system requirements remains difficult due to application heterogeneity and varia...