May 8, 2024, 5:13 p.m. | /u/xian-yu

Machine Learning www.reddit.com

https://preview.redd.it/baife9rhc8zc1.png?width=858&format=png&auto=webp&s=149789e027657cb292398427be23ae4e8f09a817

The figure is from [http://arxiv.org/abs/2206.04394](http://arxiv.org/abs/2206.04394) for a library called xplique. It is intended to display all the different attribution methods the authors have included in the library. However, it seems to me that different methods may highlight different regions and pixel structures in these images, with partial or little overlap in some cases. At the end of the day, I will have one model, a prediction and a ground truth (which may or not be known to me). Which …

analysis comparative analysis consensus current data global libraries machinelearning perspective tabular tabular data understanding xai

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