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James L. McClelland

Stanford University

What underlies rapid learning and systematic generalization in humans


Jul 10, 2021
Andrew Joohun Nam, James L. McClelland

* 22 pages, 48 references, 6 Figures, and one Table, plus SI 

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Transforming task representations to allow deep learning models to perform novel tasks


May 08, 2020
Andrew K. Lampinen, James L. McClelland

* 34 pages 

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Extending Machine Language Models toward Human-Level Language Understanding


Dec 12, 2019
James L. McClelland, Felix Hill, Maja Rudolph, Jason Baldridge, Hinrich Schütze


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Emergent Systematic Generalization in a Situated Agent


Oct 28, 2019
Felix Hill, Andrew Lampinen, Rosalia Schneider, Stephen Clark, Matthew Botvinick, James L. McClelland, Adam Santoro


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Embedded Meta-Learning: Toward more flexible deep-learning models


May 23, 2019
Andrew K. Lampinen, James L. McClelland

* 25 pages 

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A mathematical theory of semantic development in deep neural networks


Oct 23, 2018
Andrew M. Saxe, James L. McClelland, Surya Ganguli


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One-shot and few-shot learning of word embeddings


Jan 02, 2018
Andrew K. Lampinen, James L. McClelland

* 15 pages, 7 figures, under review as a conference paper at ICLR 2018 

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Exact solutions to the nonlinear dynamics of learning in deep linear neural networks


Feb 19, 2014
Andrew M. Saxe, James L. McClelland, Surya Ganguli

* Submission to ICLR2014. Revised based on reviewer feedback 

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