On The Robustness Of Interpretability Methods
In recent years, the field of machine learning has witnessed rapid growth, with complex models such as deep neural networks achieving remarkable performance across various applications. While these models provide impressive predictive accuracy, their complexity often makes it challenging to understand how they arrive at specific decisions. This has given rise to the study of … Read more