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Gary Marcus

Gary Marcus has 3 papers in our library, in 2015–2020, most of them on Reasoning; often with Ernest Davis.

3 papers in our library · 2015–2020

OpenAlex · h-index 43 · 207 works · 10,117 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 199 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #2105

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 2The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksComputer Science · 3 works

🧭 Topics 1Research subjects and languages the work is about.Reasoning · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Artificial intelligence · 3 works

 Works by year

2020s

2010s

 Papers

The most cited first (OpenAlex and our library).

  1. Commonsense Reasoning and Commonsense Knowledge in Artificial Intelligence (2015 · 508 citations)
    This is a survey article on commonsense reasoning and knowledge about the everyday world, one of the oldest problems in artificial intelligence and one where progress has been slowest.
  2. Deep Learning: A Critical Appraisal (2018 · 417 citations)
    This position paper by Gary Marcus examines deep learning about five years after its 2012 revival, which was sparked by the ImageNet convolutional network of Krizhevsky, Sutskever and Hinton.
  3. The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence (2020 · 332 citations)
    Marcus argues that a decade of progress built on generic learning algorithms, ever-bigger datasets and more compute has not produced AI that behaves dependably outside its training conditions.

All works

7 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. Deep Learning: A Critical AppraisalarXiv:1801.00631Gary Marcus2018 · 417 citations
  2. The Next Decade in AI: Four Steps Towards Robust Artificial IntelligencearXiv:2002.06177Gary Marcus2020 · 332 citations
  3. A Review of Winograd Schema Challenge Datasets and Approaches ↗arXiv:2004.13831 · no summary yetVid Kocijan et al.2020 · 35 citations
  4. Getting from Generative AI to Trustworthy AI: What LLMs might learn from Cyc ↗arXiv:2308.04445 · no summary yetDoug Lenat, Gary Marcus2023 · 25 citations
  5. A Gentle Introduction to Deep Nets and Opportunities for the Future ↗Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts · no summary yetKenneth Church et al.2022 · 8 citations
  6. A Definition of AGI ↗arXiv (Cornell University) · no summary yetDan Hendrycks et al.2025 · 6 citations

 Co-authors here

1 co-author with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 199 times (of the 149,439 papers whose bibliographies we read); 32 citing papers with a page here →.

Updated

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