Publisher
Springer International Publishing
Reference34 articles.
1. Andreas, J., Klein, D.: Reasoning about pragmatics with neural listeners and speakers. arXiv preprint arXiv:1604.00562 (2016)
2. Biran, O., McKeown, K.: Justification narratives for individual classifications. In: Proceedings of the AutoML Workshop at ICML, vol. 2014 (2014)
3. Core, M.G., Lane, H.C., Van Lent, M., Gomboc, D., Solomon, S., Rosenberg, M.: Building explainable artificial intelligence systems. In: NCAI (2006)
4. Donahue, J.: Long-term recurrent convolutional networks for visual recognition and description. TPAMI 39(4), 677–691 (2017)
5. Fong, R.C., Vedaldi, A.: Interpretable explanations of black boxes by meaningful perturbation. arXiv preprint arXiv:1704.03296 (2017)
Cited by
89 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Imbalanced Graph-Level Anomaly Detection via Counterfactual Augmentation and Feature Learning;Proceedings of the 36th International Conference on Scientific and Statistical Database Management;2024-07-10
2. Faithful Counterfactual Visual Explanations (FCVE);Knowledge-Based Systems;2024-06
3. Learning Audio Concepts from Counterfactual Natural Language;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
4. Navigating the Structured What-If Spaces: Counterfactual Generation via Structured Diffusion;2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML);2024-04-09
5. Driving through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03