David G. T. Barrett

According to our database1, David G. T. Barrett authored at least 9 papers between 2012 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2019
Spectral Inference Networks: Unifying Deep and Spectral Learning.
Proceedings of the 7th International Conference on Learning Representations, 2019

Learning to Make Analogies by Contrasting Abstract Relational Structure.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Measuring abstract reasoning in neural networks.
Proceedings of the 35th International Conference on Machine Learning, 2018

On the importance of single directions for generalization.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
A simple neural network module for relational reasoning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study.
Proceedings of the 34th International Conference on Machine Learning, 2017

Discovering objects and their relations from entangled scene representations.
Proceedings of the 5th International Conference on Learning Representations, 2017

2013
Firing rate predictions in optimal balanced networks.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012
Learning optimal spike-based representations.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012


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