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On the Origin of Implicit Regularization in Stochastic Gradient Descent

Jan 28, 2021
Samuel L. Smith, Benoit Dherin, David G. T. Barrett, Soham De

* Accepted as a conference paper at ICLR 2021 

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Implicit Gradient Regularization

Sep 23, 2020
David G. T. Barrett, Benoit Dherin

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Learning to Make Analogies by Contrasting Abstract Relational Structure

Jan 31, 2019
Felix Hill, Adam Santoro, David G. T. Barrett, Ari S. Morcos, Timothy Lillicrap

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Analyzing biological and artificial neural networks: challenges with opportunities for synergy?

Oct 31, 2018
David G. T. Barrett, Ari S. Morcos, Jakob H. Macke

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Measuring abstract reasoning in neural networks

Jul 11, 2018
David G. T. Barrett, Felix Hill, Adam Santoro, Ari S. Morcos, Timothy Lillicrap

* ICML 2018 

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On the importance of single directions for generalization

May 22, 2018
Ari S. Morcos, David G. T. Barrett, Neil C. Rabinowitz, Matthew Botvinick

* ICLR 2018 conference paper; added additional methodological details 

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Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study

Jun 29, 2017
Samuel Ritter, David G. T. Barrett, Adam Santoro, Matt M. Botvinick

* ICML 2017 

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A simple neural network module for relational reasoning

Jun 05, 2017
Adam Santoro, David Raposo, David G. T. Barrett, Mateusz Malinowski, Razvan Pascanu, Peter Battaglia, Timothy Lillicrap

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