Neural Network Attribution Methods for Problems in Geoscience: A Novel Synthetic Benchmark Dataset.
作者： Imme Ebert-Uphoff , Elizabeth A. Barnes , Antonios Mamalakis
DOI:
关键词: Benchmark (computing) 、 Ground truth 、 A priori and a posteriori 、 MNIST database 、 Artificial neural network 、 Machine learning 、 Contextual image classification 、 Artificial intelligence 、 Field (computer science) 、 Function (engineering) 、 Computer science
摘要: … , which aims at attributing the network’s prediction to specific features in the input domain. XAI … , and we test popular XAI methods in explaining the predictions of a dense neural network. …
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harvard.edu参考文章(43)
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