Harrison Edwards

According to our database1, Harrison Edwards authored at least 16 papers between 2016 and 2023.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Let's Verify Step by Step.
CoRR, 2023

2022
Adaptive Autonomous Navigation of Multiple Optoelectronic Microrobots in Dynamic Environments.
IEEE Robotics Autom. Lett., 2022

Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets.
CoRR, 2022

2021
Unsupervised Neural Machine Translation with Generative Language Models Only.
CoRR, 2021

Evaluating Large Language Models Trained on Code.
CoRR, 2021

Autonomous object harvesting using synchronized optoelectronic microrobots.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2019
Exploration by random network distillation.
Proceedings of the 7th International Conference on Learning Representations, 2019

Large-Scale Study of Curiosity-Driven Learning.
Proceedings of the 7th International Conference on Learning Representations, 2019

How to train your MAML.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Variational Option Discovery Algorithms.
CoRR, 2018

Learning Policy Representations in Multiagent Systems.
Proceedings of the 35th International Conference on Machine Learning, 2018

Augmenting Image Classifiers Using Data Augmentation Generative Adversarial Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Evaluating Generalization in Multiagent Systems using Agent-Interaction Graphs.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017
Data Augmentation Generative Adversarial Networks.
CoRR, 2017

Towards a Neural Statistician.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016
Censoring Representations with an Adversary.
Proceedings of the 4th International Conference on Learning Representations, 2016


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