Edinburgh Research Explorer
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Research Interests

Mainly interested in innovative applications to deep learning, especially vision related ones and expanding unsupervised learning via research in Variational Autoencoders and Generative Adversarial networks. Also, very interested in the area of explorative reinforcement learning, which can provide general purpose models that can then be applied to more specific areas.

Research outputs

  1. How to train your MAML

    Research output: Contribution to conferencePaper

  2. Augmenting Image Classifiers Using Data Augmentation Generative Adversarial Networks

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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ID: 59668138