参考文献:https://www.twosigma.com/articles/interpretability-methods-in-machine-learning-a-brief-survey/ 参考文献:https://mp.weixin.qq.com/s/2ygv3P93gN7wDA4N8NpcIg
P. J. G. Lisboa, "Interpretability in machine learning - principles and practice," in WILF, ser. Lecture Notes in Computer Science, F. Masulli, G. Pasi, and R. R. Yager, Eds., vol. 8256. Springer, 2013, pp. 15-21.Lisboa PJG (2013) Interpretability in machine learning--princi- ...
[5] Adebayo, Julius, et al. "Sanity checks for saliency maps."Advances in Neural Information Processing Systems. 2018. [6] Doshi-Velez, Finale, and Been Kim. "Considerations for evaluation and generalization in interpretable machine learnin...
[5] Adebayo, Julius, et al. "Sanity checks for saliency maps."Advances in Neural Information Processing Systems. 2018. [6] Doshi-Velez, Finale, and Been Kim. "Considerations for evaluation and generalization in interpretable machine learning."Explainable and Interpretable Models in Computer Vision ...
in-model主要是模型本质可解释。又称为Intrinsic。比如模型本身存在的稀疏性、单调性、因果性，或外在约束...
^W. J. Murdoch, et al., 'Definitions, methods, and applications in interpretable machine learning', PNAS, vol. 116, no. 44, 2019. ^A. Cicirello, Physics-enhanced machine learning: a position paper for dynamical systems investigations....
and diligent risk management–including a thorough understanding of the datasets they use. However, several techniques exist for enhancing the degree of interpretability in machine learning models, regardless of their type. This article summarizes several of the most common of these, including their rel...
[5] Adebayo, Julius, et al. "Sanity checks for saliency maps."Advances in Neural Information Processing Systems. 2018. [6] Doshi-Velez, Finale, and Been Kim. "Considerations for evaluation and generalization in interpretable machine learning."Explainable and Interpretable Models in Computer Vision ...
[5] Adebayo, Julius, et al. “Sanity checks for saliency maps.”Advances in Neural Information Processing Systems. 2018. [6] Doshi-Velez, Finale, and Been Kim. “Considerations for evaluation and generalization in interpretable machine learning.”Explainable and Interpretable Models in Computer Visio...
《Interpretability Methods in Machine Learning: A Brief Survey》翻译与解读 Interpretable ML models and “Black Boxes” Model-agnostic interpretability methods Several important model-agnostic interpretability methods exist, and while none of them are perfect, they can help researchers interpret the results...