Who Cited It

Axiomatic Attribution for Deep Networks

2017 · arXiv (Cornell University) · 2,650 citations · 8 from inside this corpus

Mukund Sundararajan, Ankur Taly low, Qiqi Yan

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.

Axiomatic Attribution for Deep Networks (2017)Axiomatic Attribution for Dee…Neural Machine Translation by Jointly Learning to Align and Translate (2014)Neural Machine Translation by…Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Tr… (2016)Google's Neural Machine Trans…Learning Important Features Through Propagating Activation Differences (2017)Learning Important Features T…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 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…Definitions, methods, and applications in interpretable machine learning (2019)Definitions, methods, and app…TabNet: Attentive Interpretable Tabular Learning (2021)TabNet: Attentive Interpretab…Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications (2021)Explaining Deep Neural Networ…Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks (2020)Score-CAM: Score-Weighted Vis…
11 of 11 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.
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What this paper cites, inside the corpus

PaperYearCited
Neural Machine Translation by Jointly Learning to Align and Translate201414,615
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Tr…20165,668
Learning Important Features Through Propagating Activation Differences20172,379

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 on Explainable Artificial Intelligence (XAI): Toward Medical XAI20202,377
On the Opportunities and Risks of Foundation Models20212,265
Definitions, methods, and applications in interpretable machine learning20192,161
TabNet: Attentive Interpretable Tabular Learning20211,700
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications20211,424
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks20201,378

Links

DOI · Open access copy · OpenAlex record

Topics

Explainable Artificial Intelligence (XAI)Computer Science
Advanced Graph Neural NetworksComputer Science
Adversarial Robustness in Machine LearningComputer Science

Is this record sound?

complete

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

  • supports3 author record(s) attached.
  • supports29 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 2026-09-04T03:58:48+00:00.

sha256 46f669157f96ea35…