Adam Santoro

According to our database¹, Adam Santoro authored at least 40 papers between 2016 and 2022.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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On csauthors.net:

Bibliography

2022

Improving Multimodal Interactive Agents with Reinforcement Learning from Human Feedback.

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[DOI]

CoRR, 2022

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.

[BibT_eX]

[DOI]

CoRR, 2022

Evaluating Multimodal Interactive Agents.

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[DOI]

CoRR, 2022

A data-driven approach for learning to control computers.

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[DOI]

CoRR, 2022

Intra-agent speech permits zero-shot task acquisition.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Data Distributional Properties Drive Emergent In-Context Learning in Transformers.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Tell me why! Explanations support learning relational and causal structure.

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[DOI]

Proceedings of the International Conference on Machine Learning, 2022

A data-driven approach for learning to control computers.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

2021

Creating Multimodal Interactive Agents with Imitation and Self-Supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Synthetic Returns for Long-Term Credit Assignment.

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[DOI]

CoRR, 2021

Symbolic Behaviour in Artificial Intelligence.

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[DOI]

CoRR, 2021

Attention over Learned Object Embeddings Enables Complex Visual Reasoning.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Rapid Task-Solving in Novel Environments.

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[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Object-based attention for spatio-temporal reasoning: Outperforming neuro-symbolic models with flexible distributed architectures.

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[DOI]

CoRR, 2020

Imitating Interactive Intelligence.

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[DOI]

CoRR, 2020

Automated curriculum generation through setter-solver interactions.

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[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Environmental drivers of systematicity and generalization in a situated agent.

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[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Cognitive consequences of structured education in a connectionist model of analogical reasoning.

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Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019

Emergent Systematic Generalization in a Situated Agent.

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[DOI]

CoRR, 2019

Automated curricula through setter-solver interactions.

[BibT_eX]

[DOI]

CoRR, 2019

Is coding a relevant metaphor for building AI? A commentary on "Is coding a relevant metaphor for the brain?", by Romain Brette.

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[DOI]

CoRR, 2019

An Investigation of Model-Free Planning.

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[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Deep reinforcement learning with relational inductive biases.

[BibT_eX]

[DOI]

Vinícius Flores Zambaldi

Proceedings of the 7th International Conference on Learning Representations, 2019

Learning to Make Analogies by Contrasting Abstract Relational Structure.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Hyperbolic Attention Networks.

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[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

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

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[DOI]

CoRR, 2018

Relational Deep Reinforcement Learning.

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[DOI]

Vinícius Flores Zambaldi

CoRR, 2018

Relational inductive biases, deep learning, and graph networks.

[BibT_eX]

[DOI]

CoRR, 2018

Unsupervised Predictive Memory in a Goal-Directed Agent.

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[DOI]

CoRR, 2018

Relational recurrent neural networks.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

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

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Measuring abstract reasoning in neural networks.

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[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Learning Visual Question Answering by Bootstrapping Hard Attention.

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[DOI]

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.

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[DOI]

Danilo Jimenez Rezende

Adam Santoro

Tom Schaul

Christopher Summerfield

CoRR, 2017

Generative Temporal Models with Memory.

[BibT_eX]

[DOI]

Danilo Jimenez Rezende

David Amos

Timothy P. Lillicrap

CoRR, 2017

A simple neural network module for relational reasoning.

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[DOI]

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.

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[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Discovering objects and their relations from entangled scene representations.

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[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

One-shot Learning with Memory-Augmented Neural Networks.

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[DOI]

CoRR, 2016

Meta-Learning with Memory-Augmented Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

Adam Santoro

Timeline

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On csauthors.net:

Bibliography

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