Adam Santoro

According to our database1, Adam Santoro authored at least 19 papers between 2016 and 2018.

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Bibliography

2018
Learning Visual Question Answering by Bootstrapping Hard Attention.
CoRR, 2018

Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures.
CoRR, 2018

Measuring abstract reasoning in neural networks.
CoRR, 2018

Relational Deep Reinforcement Learning.
CoRR, 2018

Relational recurrent neural networks.
CoRR, 2018

Relational inductive biases, deep learning, and graph networks.
CoRR, 2018

Hyperbolic Attention Networks.
CoRR, 2018

Unsupervised Predictive Memory in a Goal-Directed Agent.
CoRR, 2018

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

Learning Visual Question Answering by Bootstrapping Hard Attention.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Building Machines that Learn and Think for Themselves: Commentary on Lake et al., Behavioral and Brain Sciences, 2017.
CoRR, 2017

A simple neural network module for relational reasoning.
CoRR, 2017

Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study.
CoRR, 2017

Discovering objects and their relations from entangled scene representations.
CoRR, 2017

Generative Temporal Models with Memory.
CoRR, 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

2016
One-shot Learning with Memory-Augmented Neural Networks.
CoRR, 2016

Meta-Learning with Memory-Augmented Neural Networks.
Proceedings of the 33nd International Conference on Machine Learning, 2016


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