Linking pages
Linked pages
- Spurious Correlations http://www.tylervigen.com/spurious-correlations 332 comments
- Feature Visualization https://distill.pub/2017/feature-visualization/ 77 comments
- Ethical Issues In Advanced Artificial Intelligence http://www.nickbostrom.com/ethics/ai.html 24 comments
- GitHub - slundberg/shap: A game theoretic approach to explain the output of any machine learning model. https://github.com/slundberg/shap 20 comments
- [1811.10154] Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead https://arxiv.org/abs/1811.10154 14 comments
- GitHub - marcotcr/lime: Lime: Explaining the predictions of any machine learning classifier https://github.com/marcotcr/lime 12 comments
- http://www.darpa.mil/program/explainable-artificial-intelligence 7 comments
- [1602.04938] "Why Should I Trust You?": Explaining the Predictions of Any Classifier http://arxiv.org/abs/1602.04938 1 comment
- [1711.00867] The (Un)reliability of saliency methods https://arxiv.org/abs/1711.00867 0 comments
- It’s All Training Data: Using Lessons from Machine Learning to Retrain Your Mind https://thegradient.pub/its-all-training-data/ 0 comments
- [1711.11279] Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV) https://arxiv.org/abs/1711.11279 0 comments
- [1606.05386] Model-Agnostic Interpretability of Machine Learning https://arxiv.org/abs/1606.05386 0 comments
- [1312.6034] Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps https://arxiv.org/abs/1312.6034 0 comments
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