Who Cited It

Shortcut learning in deep neural networks

2020 · Nature Machine Intelligence · 2,040 citations · 1 from inside this corpus

Robert Geirhos, Jörn-Henrik Jacobsen low, Claudio Michaelis, Richard S. Zemel, Wieland Brendel low, Matthias Bethge, Felix A. Wichmann

No abstract in the source record.

Shortcut learning in deep neural networks (2020)Shortcut learning in deep neu…Exploiting Generative AI to Scale up Intelligent Tutoring Systems (2023)Exploiting Generative AI to S…AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S… (2018)AI-Assisted Pipeline for Dyna…BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (2019)BERT: Pre-training of Deep Bi…Multilayer feedforward networks are universal approximators (1989)Multilayer feedforward networ…"Why Should I Trust You?" (2016)"Why Should I Trust You?"Mastering the game of Go with deep neural networks and tree search (2016)Mastering the game of Go with…No free lunch theorems for optimization (1997)No free lunch theorems for op…Multilayer feedforward networks are universal approximators (1989)Multilayer feedforward networ…Attention Is All You Need (2025)Attention Is All You NeedModel-Agnostic Meta-Learning for Fast Adaptation of Deep Networks (2017)Model-Agnostic Meta-Learning …Intriguing properties of neural networks (2013)Intriguing properties of neur…“Why Should I Trust You?”: Explaining the Predictions of Any Classifier (2016)“Why Should I Trust You?”: Ex…Deep learning and process understanding for data-driven Earth system science (2019)Deep learning and process und…On Assessing ML Model Robustness: A Methodological Framework (Academic Track) (2025)Fairness through awareness (2012)Fairness through awarenessDomain randomization for transferring deep neural networks from simulation to the real wo… (2017)Domain randomization for tran…Deep visual domain adaptation: A survey (2018)Deep visual domain adaptation…The Unreasonable Effectiveness of Data (2009)The Unreasonable Effectivenes…Agnostic Learning with Unknown Utilities (2016)Agnostic Learning with Unknow…Learning deep representations by mutual information estimation and maximization (2018)Learning deep representations…On the Opportunities and Risks of Foundation Models (2021)On the Opportunities and Risk…
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What this paper cites, inside the corpus

PaperYearCited
Exploiting Generative AI to Scale up Intelligent Tutoring Systems202379,071
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S…201846,036
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding201933,416
Multilayer feedforward networks are universal approximators198921,633
"Why Should I Trust You?"201616,210
Mastering the game of Go with deep neural networks and tree search201616,014
No free lunch theorems for optimization199714,234
Multilayer feedforward networks are universal approximators19899,357
Attention Is All You Need20257,133
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks20175,794
Intriguing properties of neural networks20135,739
“Why Should I Trust You?”: Explaining the Predictions of Any Classifier20165,480
Deep learning and process understanding for data-driven Earth system science20195,475
On Assessing ML Model Robustness: A Methodological Framework (Academic Track)20254,755
Fairness through awareness20123,476
Domain randomization for transferring deep neural networks from simulation to the real wo…20172,890
Deep visual domain adaptation: A survey20182,232
The Unreasonable Effectiveness of Data20091,814
Agnostic Learning with Unknown Utilities20161,416
Learning deep representations by mutual information estimation and maximization20181,393

What cites it, inside the corpus

PaperYearCited
On the Opportunities and Risks of Foundation Models20212,265

Links

DOI · Open access copy · OpenAlex record

Topics

Adversarial Robustness in Machine LearningComputer Science
Anomaly Detection Techniques and ApplicationsComputer 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.

  • supports7 author record(s) attached.
  • supports211 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 2026-09-04T03:58:51+00:00.

sha256 6e314d9c6052d1ed…