Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for David G. T. Barrett

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 

  Access Paper or Ask Questions

Implicit Gradient Regularization


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


  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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


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


  Access Paper or Ask Questions

Measuring abstract reasoning in neural networks


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

* ICML 2018 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions