Who Cited It

Towards A Rigorous Science of Interpretable Machine Learning

2017 · arXiv (Cornell University) · 3,190 citations · 11 from inside this corpus

Finale Doshi‐Velez, Been Kim

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Towards A Rigorous Science of Interpretable Machine Learning (2017)Towards A Rigorous Science of…Mastering the game of Go with deep neural networks and tree search (2016)Mastering the game of Go with…Playing Atari with Deep Reinforcement Learning (2013)Playing Atari with Deep Reinf…Fairness through awareness (2012)Fairness through awarenessReading Tea Leaves: How Humans Interpret Topic Models (2009)Reading Tea Leaves: How Human…Agnostic Learning with Unknown Utilities (2016)Agnostic Learning with Unknow…Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe… (2019)Explainable Artificial Intell…Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI) (2018)Peeking Inside the Black-Box:…A survey of methods for explaining black box models (2019)A survey of methods for expla…Explainable AI: A Review of Machine Learning Interpretability Methods (2020)Explainable AI: A Review of M…A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI (2020)A Survey on Explainable Artif…On the Opportunities and Risks of Foundation Models (2021)On the Opportunities and Risk…Machine Learning Interpretability: A Survey on Methods and Metrics (2019)Machine Learning Interpretabi…Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustw… (2023)Explainable Artificial Intell…The false hope of current approaches to explainable artificial intelligence in health care (2021)The false hope of current app…Automated Machine Learning (2019)Automated Machine LearningExplaining Deep Neural Networks and Beyond: A Review of Methods and Applications (2021)Explaining Deep Neural Networ…
16 of 16 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
this paper works it cites works citing it node size = global citations · hover for the full title

What this paper cites, inside the corpus

PaperYearCited
Mastering the game of Go with deep neural networks and tree search201616,014
Playing Atari with Deep Reinforcement Learning20135,104
Fairness through awareness20123,476
Reading Tea Leaves: How Humans Interpret Topic Models20091,882
Agnostic Learning with Unknown Utilities20161,416

What cites it, inside the corpus

PaperYearCited
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe…20199,796
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)20186,166
A survey of methods for explaining black box models20194,992
Explainable AI: A Review of Machine Learning Interpretability Methods20202,907
A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI20202,377
On the Opportunities and Risks of Foundation Models20212,265
Machine Learning Interpretability: A Survey on Methods and Metrics20191,822
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustw…20231,679
The false hope of current approaches to explainable artificial intelligence in health care20211,572
Automated Machine Learning20191,451
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications20211,424

Links

DOI · Open access copy · OpenAlex record

Topics

Explainable Artificial Intelligence (XAI)Computer Science
Adversarial Robustness in Machine LearningComputer Science
Machine Learning and Data ClassificationComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports2 author record(s) attached.
  • supports26 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:47+00:00.

sha256 a08467ae9504f237…