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Antreas Antoniou
Antreas Antoniou
University of Edinburgh
Verified email at antreas.io - Homepage
Title
Cited by
Cited by
Year
Meta-learning in neural networks: A survey
T Hospedales, A Antoniou, P Micaelli, A Storkey
IEEE transactions on pattern analysis and machine intelligence 44 (9), 5149-5169, 2021
20332021
Data Augmentation Generative Adversarial Networks
A Antoniou, A Storkey, H Edwards
ICANN 2018, 2017
1398*2017
How to train your MAML
A Antoniou, H Edwards, A Storkey
ICLR 2019, 2018
8712018
CINIC-10 is not ImageNet or CIFAR-10
LN Darlow, EJ Crowley, A Antoniou, AJ Storkey
arXiv preprint arXiv:1810.03505, 2018
4112018
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
852019
Learning to Learn by Self-Critique
A Antoniou, AJ Storkey
NeurIPS 2019, 9936-9946, 2019
852019
Defining benchmarks for continual few-shot learning
A Antoniou, M Patacchiola, M Ochal, A Storkey
Meta-Learrning Workshop, NeurIPS 2020, 2020
512020
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
212016
ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging
A Fontanella, A Antoniou, W Li, J Wardlaw, G Mair, E Trucco, A Storkey
ICML 2023, 2023
82023
Dilated Densenets for Relational Reasoning
A Antoniou, A Słowik, EJ Crowley, A Storkey
arXiv preprint arXiv:1811.00410, 2018
62018
Contrastive Meta-Learning for Partially Observable Few-Shot Learning
A Jelley, A Storkey, A Antoniou, S Devlin
ICLR 2023, 2023
32023
Challenges of building medical image datasets for development of deep learning software in stroke
A Fontanella, W Li, G Mair, A Antoniou, E Platt, C Martin, P Armitage, ...
arXiv preprint arXiv:2309.15081, 2023
12023
Meta learning for supervised and unsupervised few-shot learning
A Antoniou
The University of Edinburgh, 2021
12021
Meta-meta-learning for Neural Architecture Search through arXiv Descent
A Antoniou, N Pawlowski, J Turner, J Owers, J Mellor, EJ Crowley
SIGBOVIK, 2019
12019
einspace: Searching for Neural Architectures from Fundamental Operations
L Ericsson, M Espinosa, C Yang, A Antoniou, A Storkey, SB Cohen, ...
arXiv preprint arXiv:2405.20838, 2024
2024
Adversarial Augmentation Training Makes Action Recognition Models More Robust to Realistic Video Distribution Shifts
K Kim, SN Gowda, P Eustratiadis, A Antoniou, RB Fisher
arXiv preprint arXiv:2401.11406, 2024
2024
Development of a Deep Learning Method to Identify Acute Ischemic Stroke Lesions on Brain CT
A Fontanella, W Li, G Mair, A Antoniou, E Platt, P Armitage, E Trucco, ...
arXiv preprint arXiv:2309.17320, 2023
2023
Is Scaling Learned Optimizers Worth It? Evaluating The Value of VeLO’s 4000 TPU Months
F Rezk, A Antoniou, H Gouk, T Hospedales
Proceedings on, 65-83, 2023
2023
Liouna: Biologically Plausible Learning for Efficient Pre-Training of Transferrable Deep Models
F Rezk, A Antoniou, H Gouk, T Hospedales
2nd Workshop on Advancing Neural Network Training: Computational Efficiency …, 0
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Articles 1–19