| Data Augmentation Generative Adversarial Networks A Antoniou, A Storkey, H Edwards arXiv preprint arXiv:1711.04340, 2017 | 549 | 2017 |
| How to train your MAML A Antoniou, H Edwards, A Storkey International Conference on Learning Representations 2019, 2018 | 213 | 2018 |
| Meta-learning in neural networks: A survey T Hospedales, A Antoniou, P Micaelli, A Storkey arXiv preprint arXiv:2004.05439, 2020 | 179 | 2020 |
| CINIC-10 is not ImageNet or CIFAR-10 LN Darlow, EJ Crowley, A Antoniou, AJ Storkey arXiv preprint arXiv:1810.03505, 2018 | 78 | 2018 |
| Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation A Antoniou, A Storkey arXiv preprint arXiv:1902.09884, 2019 | 34 | 2019 |
| Learning to Learn by Self-Critique A Antoniou, AJ Storkey Advances in Neural Information Processing Systems 2019, 9936-9946, 0 | 25* | |
| Defining benchmarks for continual few-shot learning A Antoniou, M Patacchiola, M Ochal, A Storkey arXiv preprint arXiv:2004.11967, 2020 | 16 | 2020 |
| Data augmentation generative adversarial networks., arXiv A Antoniou, A Storkey, H Edwards preprint, 2017 | 12 | 2017 |
| A general purpose intelligent surveillance system for mobile devices using deep learning A Antoniou, P Angelov 2016 International Joint Conference on Neural Networks (IJCNN), 2879-2886, 2016 | 11 | 2016 |
| Dilated Densenets for Relational Reasoning A Antoniou, A Słowik, EJ Crowley, A Storkey arXiv preprint arXiv:1811.00410, 2018 | 2 | 2018 |
| BlockSwap: Fisher-guided Block Substitution for Network Compression J Turner, EJ Crowley, G Gray, A Storkey, M O'Boyle, V Radu, J Cano, ... CoRR, 2019 | | 2019 |
| Meta-meta-learning for Neural Architecture Search through arXiv Descent A Antoniou, N Pawlowski, J Turner, J Owers, J Mellor, EJ Crowley | | |
Amos StorkeyProfessor of Machine Learning and AI, School of Informatics, University of Edinburgh, UKVerified email at ed.ac.uk
