Open Internet by MindsNet

Reproducible Ablation Studies with Pre-Trained Models

Performing ablation studies on a pre-trained model without retraining poses a challenge due to the non-deterministic nature of model training. The goal is to assess the impact of removing components on accuracy while maintaining consistency with the original model performance. This issue affects researchers and practitioners who need to conduct ablation studies for model evaluation and comparison.

Computing & Technology, Computer Science, Machine Learning