Understanding the Role of Feature Attribution Baselines in Neural Network Interpretation
The exploration of feature attribution baselines in neural networks reveals the critical role these parameters play in interpreting model behavior. By examining the impact of baseline inputs, researchers can gain a deeper understanding of how neural networks assign importance to different features, enhancing model transparency and accountability.