How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors?
Z Carmichael, WJ Scheirer - arXiv preprint arXiv:2310.18496, 2023 - arxiv.org
Surging interest in deep learning from high-stakes domains has precipitated concern over
the inscrutable nature of black box neural networks. Explainable AI (XAI) research has led to …
the inscrutable nature of black box neural networks. Explainable AI (XAI) research has led to …
How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors?
Z Carmichael, W Scheirer - XAI in Action: Past, Present, and Future … - openreview.net
Surging interest in deep learning from high-stakes domains has precipitated concern over
the inscrutable nature of black box neural networks. Explainable AI (XAI) research has led to …
the inscrutable nature of black box neural networks. Explainable AI (XAI) research has led to …
How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors?
Z Carmichael, WJ Scheirer - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Surging interest in deep learning from high-stakes domains has precipitated concern over
the inscrutable nature of black box neural networks. Explainable AI (XAI) research has led to …
the inscrutable nature of black box neural networks. Explainable AI (XAI) research has led to …