Agree to Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations
(2022)
Conference Proceeding
Watson, M., Awwad Shiekh Hasan, B., & Al Moubayed, N. (2022). Agree to Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations. . https://doi.org/10.1109/wacv51458.2022.00159
Deep Learning of neural networks has progressively become more prominent in healthcare with models reaching, or even surpassing, expert accuracy levels. However, these success stories are tainted by concerning reports on the lack of model transparenc... Read More about Agree to Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations.