Research output per year
Research output per year
Personal profile
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.
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Meta-Learning in Neural Networks: A Survey
Hospedales, T. M., Antoniou, A., Micaelli, P. & Storkey, A. J., 4 Aug 2022, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 44, 9, p. 5149-5169 20 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
How to train your MAML
Antoniou, A., Edwards, H. & Storkey, A., 2019. 11 p.Research output: Contribution to conference › Paper › peer-review
Open AccessFile -
Augmenting Image Classifiers Using Data Augmentation Generative Adversarial Networks
Antoniou, A., Storkey, A. & Edwards, H., 27 Sep 2018, (E-pub ahead of print) Artificial Neural Networks and Machine Learning – ICANN 2018. Rhodes, Greece, p. 594-603 10 p. (Lecture Notes in Computer Science; vol. 11141).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile -
A patient-preference cohort study of office versus inpatient uterine polyp treatment for abnormal uterine bleeding
on behalf of the OPT trial collaborative group, 1 Nov 2016, In: Gynecological Surgery. 13, 4, p. 313-322 10 p.Research output: Contribution to journal › Article › peer-review
Open Access