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What shapes feature representations? Exploring datasets, architectures, and training

Jun 22, 2020
Katherine L. Hermann, Andrew K. Lampinen

* 21 pages 

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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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Automated curricula through setter-solver interactions

Sep 27, 2019
Sebastien Racaniere, Andrew K. Lampinen, Adam Santoro, David P. Reichert, Vlad Firoiu, Timothy P. Lillicrap


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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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An analytic theory of generalization dynamics and transfer learning in deep linear networks

Sep 27, 2018
Andrew K. Lampinen, Surya Ganguli

* Under review at ICLR 2019, 20 pages 

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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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