Skip to content

David G. T. Barrett

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

9

Venues

2

Active years

2017–2021

Best venue rank

A*

Where they publish

Papers

9 indexed papers, newest first.

YearVenueTitleAuthors
2021ICLRImplicit Gradient Regularization.David G. T. Barrett, Benoit Dherin
2021ICLROn the Origin of Implicit Regularization in Stochastic Gradient Descent.Samuel L. Smith, Benoit Dherin, David G. T. Barrett, Soham De
2020ICMLAn Explicitly Relational Neural Network Architecture.Murray Shanahan, Kyriacos Nikiforou, Antonia Creswell, Christos Kaplanis, David G. T. Barrett, Marta Garnelo
2019ICLRLearning to Make Analogies by Contrasting Abstract Relational Structure.Felix Hill, Adam Santoro, David G. T. Barrett, Ari S. Morcos, Timothy P. Lillicrap
2019ICLRSpectral Inference Networks: Unifying Deep and Spectral Learning.David Pfau, Stig Petersen, Ashish Agarwal, David G. T. Barrett, Kimberly L. Stachenfeld
2018ICLROn the importance of single directions for generalization.Ari S. Morcos, David G. T. Barrett, Neil C. Rabinowitz, Matthew M. Botvinick
2018ICMLMeasuring abstract reasoning in neural networks.Adam Santoro, Felix Hill, David G. T. Barrett, Ari S. Morcos, Timothy P. Lillicrap
2017ICLRDiscovering objects and their relations from entangled scene representations.David Raposo, Adam Santoro, David G. T. Barrett, Razvan Pascanu, Tim Lillicrap, Peter W. Battaglia
2017ICMLCognitive Psychology for Deep Neural Networks: A Shape Bias Case Study.Samuel Ritter, David G. T. Barrett, Adam Santoro, Matt M. Botvinick