Who Cited It

Learning and development in neural networks: the importance of starting small

1993 · Cognition · 2,029 citations · 6 from inside this corpus

Jeffrey L. Elman

No abstract in the source record.

Learning and development in neural networks: the importance of starting small (1993)Learning and development in n…Learning Internal Representations by Error Propagation (1985)Learning Internal Representat…Language identification in the limit (1967)Language identification in th…The Cascade-Correlation learning architecture (2018)The Cascade-Correlation learn…Handbook of mathematical psychology: I. (1963)Handbook of mathematical psyc…Maturational Constraints on Language Learning (1990)Maturational Constraints on L…Distributed representations, simple recurrent networks, and grammatical structure (1991)Distributed representations, …Curriculum learning (2009)Curriculum learningLearning Deep Architectures for AI (2009)Learning Deep Architectures f…Continual lifelong learning with neural networks: A review (2019)Continual lifelong learning w…Practical Recommendations for Gradient-Based Training of Deep Architectures (2012)Practical Recommendations for…Word Representations: A Simple and General Method for Semi-Supervised Learning (2010)Word Representations: A Simpl…[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)][No title in the source recor…
12 of 12 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
Learning Internal Representations by Error Propagation198516,273
Language identification in the limit19673,590
The Cascade-Correlation learning architecture20182,401
Handbook of mathematical psychology: I.19631,998
Maturational Constraints on Language Learning19901,631
Distributed representations, simple recurrent networks, and grammatical structure19911,383

What cites it, inside the corpus

PaperYearCited
Curriculum learning20095,154
Learning Deep Architectures for AI20095,077
Continual lifelong learning with neural networks: A review20193,145
Practical Recommendations for Gradient-Based Training of Deep Architectures20121,960
Word Representations: A Simple and General Method for Semi-Supervised Learning20101,941
[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]1,853

Links

DOI · OpenAlex record

Topics

Topic ModelingComputer Science
Language Development and DisordersPsychology
Natural Language Processing TechniquesComputer Science

Is this record sound?

complete

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

  • supports1 author record(s) attached.
  • supports46 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…