---
title: "Who cites Deep Learning: A Critical Appraisal — 48 citing papers"
description: "48 papers of the Elamur Research library cite «Deep Learning: A Critical Appraisal», found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/marcus-2018-deep-learning-critical-appraisal/cited-by/"
---
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# Who cites «Deep Learning: A Critical Appraisal»

48 papers of our library cite it (of the 149,439 whose bibliographies we read) · 10 with a page here, the most cited first · [← back to «Deep Learning: A Critical Appraisal»](https://md.research.elamur.ai/free/en/papers/marcus-2018-deep-learning-critical-appraisal/)

1. [**Relational inductive biases, deep learning, and graph networks arXiv:1806.01261**Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, et al.*2018 · 2,335 citations*](https://md.research.elamur.ai/free/en/papers/battaglia-2018-relational-inductive-biases-deep-learning/)
2. [**Invariant Risk Minimization arXiv:1907.02893**Martin Arjovsky, Léon Bottou, Ishaan Gulrajani, et al.*2019 · 420 citations*](https://md.research.elamur.ai/free/en/papers/arjovsky-2019-invariant-risk-minimization/)
3. [**The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence arXiv:2002.06177**Gary Marcus*2020 · 332 citations*](https://md.research.elamur.ai/free/en/papers/marcus-2020-next-decade-ai-four/)
4. [**SocialIQA: Commonsense Reasoning about Social Interactions arXiv:1904.09728**Maarten Sap, Hannah Rashkin, Derek Chen, et al.*2019 · 259 citations*](https://md.research.elamur.ai/free/en/papers/sap-2019-socialiqa-commonsense-reasoning-about-social/)
5. [**Scalable agent alignment via reward modeling: a research direction arXiv:1811.07871**Jan Leike, David Krueger, Tom Everitt, et al.*2018 · 227 citations*](https://md.research.elamur.ai/free/en/papers/leike-2018-scalable-agent-alignment-reward-modeling/)
6. [**AI Alignment: A Comprehensive Survey arXiv:2310.19852**Jiaming Ji, Tianyi Qiu, Boyuan Chen, et al.*2023 · 173 citations*](https://md.research.elamur.ai/free/en/papers/ji-2023-ai-alignment-comprehensive-survey/)
7. [**Measuring abstract reasoning in neural networks arXiv:1807.04225**David G. T. Barrett, Felix Hill, Adam Santoro, et al.*2018 · 173 citations*](https://md.research.elamur.ai/free/en/papers/barrett-2018-measuring-abstract-reasoning-neural-networks/)
8. **[I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling](https://md.research.elamur.ai/free/en/papers/nie-2021-i-like-fish-especially-dolphins/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yixin Nie, Mary Williamson, Mohit Bansal, et al.*2021 · 101 citations*
9. **[Leveraging Syntactic Dependencies in Disambiguation: The Case of African American English](https://md.research.elamur.ai/free/en/papers/previlon-2024-leveraging-syntactic-dependencies-disambiguation-case/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Wilermine Previlon, Alice Rozet, Jotsna Gowda, et al.*2024 · 4 citations*
10. [**Automated detection of pronunciation errors in non-native English speech employing deep learning arXiv:2209.06265**Daniel Korzekwa*2022 · 1 citation*](https://md.research.elamur.ai/free/en/papers/korzekwa-2022-automated-detection-pronunciation-errors-non/)

38 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/marcus-2018-deep-learning-critical-appraisal/) — Deep Learning: A Critical Appraisal