Anchors: High-Precision Model-Agnostic Explanations
Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin
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Citation edge evidence
- From local explanations to global understanding with explainable AI for trees→Anchors: High-Precision Model-Agnostic ExplanationsLegacy edge — source detail unavailable
- Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe…→Anchors: High-Precision Model-Agnostic ExplanationsLegacy edge — source detail unavailable
- Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)→Anchors: High-Precision Model-Agnostic ExplanationsLegacy edge — source detail unavailable
- Explainable AI: A Review of Machine Learning Interpretability Methods→Anchors: High-Precision Model-Agnostic ExplanationsLegacy edge — source detail unavailable
- Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence→Anchors: High-Precision Model-Agnostic ExplanationsLegacy edge — source detail unavailable
- Machine Learning Interpretability: A Survey on Methods and Metrics→Anchors: High-Precision Model-Agnostic ExplanationsLegacy edge — source detail unavailable
- Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustw…→Anchors: High-Precision Model-Agnostic ExplanationsLegacy edge — source detail unavailable
- Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications→Anchors: High-Precision Model-Agnostic ExplanationsLegacy edge — source detail unavailable
- Anchors: High-Precision Model-Agnostic Explanations→Glove: Global Vectors for Word RepresentationLegacy edge — source detail unavailable
- Anchors: High-Precision Model-Agnostic Explanations→"Why Should I Trust You?"Legacy edge — source detail unavailable
- Anchors: High-Precision Model-Agnostic Explanations→Elements of Information TheoryLegacy edge — source detail unavailable
- Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)→"Why Should I Trust You?"Legacy edge — source detail unavailable
- Machine Learning Interpretability: A Survey on Methods and Metrics→"Why Should I Trust You?"Legacy edge — source detail unavailable
- Machine Learning Interpretability: A Survey on Methods and Metrics→Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)Legacy edge — source detail unavailable
- Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe…→"Why Should I Trust You?"Legacy edge — source detail unavailable
- Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe…→Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)Legacy edge — source detail unavailable
- From local explanations to global understanding with explainable AI for trees→"Why Should I Trust You?"Legacy edge — source detail unavailable
- Explainable AI: A Review of Machine Learning Interpretability Methods→"Why Should I Trust You?"Legacy edge — source detail unavailable
- Explainable AI: A Review of Machine Learning Interpretability Methods→Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)Legacy edge — source detail unavailable
- Explainable AI: A Review of Machine Learning Interpretability Methods→Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe…Legacy edge — source detail unavailable
- Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications→"Why Should I Trust You?"Legacy edge — source detail unavailable
- Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications→From local explanations to global understanding with explainable AI for treesLegacy edge — source detail unavailable
- Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustw…→"Why Should I Trust You?"Legacy edge — source detail unavailable
- Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustw…→Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)Legacy edge — source detail unavailable
- Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustw…→Machine Learning Interpretability: A Survey on Methods and MetricsLegacy edge — source detail unavailable
- Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustw…→Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe…Legacy edge — source detail unavailable
- Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustw…→From local explanations to global understanding with explainable AI for treesLegacy edge — source detail unavailable
- Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustw…→Explainable AI: A Review of Machine Learning Interpretability MethodsLegacy edge — source detail unavailable
- Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence→"Why Should I Trust You?"Legacy edge — source detail unavailable
- Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence→Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)Legacy edge — source detail unavailable
- Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence→Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe…Legacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Glove: Global Vectors for Word Representation | 2014 | 34,067 |
| "Why Should I Trust You?" | 2016 | 16,210 |
| Elements of Information Theory | 1992 | 1,425 |
What cites it, inside the corpus
Links
Download BibTeX · Download RIS · DOI · Open access copy · OpenAlex record
Topics
| Explainable Artificial Intelligence (XAI) | Computer Science |
| Data Stream Mining Techniques | Computer Science |
| Machine Learning and Data Classification | Computer Science |
Is this record sound?
complete
Nothing in this record contradicts itself and no field we check is missing.
- supports3 author record(s) attached.
- supports46 reference(s) recorded.
- neutralThe DOI carries no year to check against.
- supportsA title is present.
Provenance
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