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4 de mar. de 2021 · Explainable AI (XAI): A survey of recents methods, applications and frameworks. Deep learning applications have drawn a lot of attention since they have surpassed humans in many tasks such as image and speech recognition, and recommendation systems. However, these applications lack explainability and reliability.
17 de abr. de 2022 · Discussion: The developers compared GraphLIME with one of the first xAI methods for GNNs at the time, namely GNNExplainer, w.r.t. three criteria: (1) ability to detect useless features, (2) ability to decide whether the prediction is trustworthy, and (3) ability to identify the better model among two GNN classifiers.
Xai es un distrito de la provincia de Oudomxay, Laos. A 1 de marzo de 2015 tenía una población censada de 79 535 habitantes. [1] Se encuentra ubicado al norte del país, en la zona de la cordillera Annamita, y cerca del río Mekong y de la frontera con China.
13 de jul. de 2023 · What is xAI? xAI is Elon Musk’s just-announced artificial intelligence company. Its 12-strong team plans to “understand the true nature of the universe”, according to an announcement posted ...
12 de oct. de 2021 · Measuring XAI methods with Infidelity and Sensitivity. Further reading. I’ve decided to create a series of articles explaining the most important XAI methods currently used in practice. Here is a list (will be updated with new articles): Saliency - one of the first attribution XAI methods; Deconvolution - using CNN structure for interpretability
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26 de nov. de 2021 · ICE is a local, model-agnostic interpretation method. The idea is the same as the PDP but instead of plotting the average contribution, we plot the contribution for each individual. Of course, the main limitation is the same as PDP. Moreover, if you have too many individuals, the plot may become unexplainable.
