Evaluation Metrics for XAI: A Review, Taxonomy, and Practical Applications
Author:
Affiliation:
1. German Research Center for Artificial Intelligence,Saarbrücken,Germany
2. Obuda University,Budapest,Hungary
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10297583/10297621/10297629.pdf?arnumber=10297629
Reference138 articles.
1. CLEVR-XAI: A benchmark dataset for the ground truth evaluation of neural network explanations
2. Real time image saliency for black box classifiers;dabkowski;Proceedings of the 31st International Conference on Neural Information Processing Systems,2017
3. Towards Visually Explaining Video Understanding Networks with Perturbation
4. Explanations based on the missing: Towards contrastive explanations with pertinent negatives;dhurandhar;Proceedings of the 32Nd International Conference on Neural Information Processing Systems,2018
5. Towards robust interpretability with self-explaining neural networks;alvarez melis;Advances in neural information processing systems,2018
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