Byung-Won On

Instance Weight-Based Training: Paradigm Shift in Mini-Batch Training for Multiclass Classification in Natural Language Processing

This paper presents a novel perspective on training methods that diverges from traditional fine-tuning approaches for deep learning-based natural language processing models by considering the weight of each instance. Specifically, we propose a novel Instance Weight Estimation Model (IWEM) that calculates the weight of...