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2020 – today
- 2024
[i14]Kiyoon Kim, Shreyank N. Gowda, Panagiotis Eustratiadis, Antreas Antoniou, Robert B. Fisher:
Adversarial Augmentation Training Makes Action Recognition Models More Robust to Realistic Video Distribution Shifts. CoRR abs/2401.11406 (2024)- [i13]Linus Ericsson, Miguel Espinosa, Chenhongyi Yang, Antreas Antoniou, Amos J. Storkey, Shay B. Cohen, Steven McDonagh, Elliot J. Crowley:
einspace: Searching for Neural Architectures from Fundamental Operations. CoRR abs/2405.20838 (2024) - 2023
- [c7]Fady Rezk, Antreas Antoniou, Henry Gouk, Timothy M. Hospedales:
Is Scaling Learned Optimizers Worth It? Evaluating The Value of VeLO's 4000 TPU Months. ICBINB 2023: 65-83 - [c6]Adam Jelley, Amos J. Storkey, Antreas Antoniou, Sam Devlin:
Contrastive Meta-Learning for Partially Observable Few-Shot Learning. ICLR 2023 - [c5]Alessandro Fontanella, Antreas Antoniou, Wenwen Li, Joanna M. Wardlaw, Grant Mair, Emanuele Trucco, Amos J. Storkey:
ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging. ICML 2023: 10153-10169 - [i12]Adam Jelley, Amos J. Storkey, Antreas Antoniou, Sam Devlin:
Contrastive Meta-Learning for Partially Observable Few-Shot Learning. CoRR abs/2301.13136 (2023) - [i11]Alessandro Fontanella, Antreas Antoniou, Wenwen Li, Joanna M. Wardlaw, Grant Mair
, Emanuele Trucco, Amos J. Storkey:
ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging. CoRR abs/2303.15421 (2023) - [i10]Alessandro Fontanella, Wenwen Li, Grant Mair, Antreas Antoniou, Eleanor Platt, Paul A. Armitage, Emanuele Trucco, Joanna M. Wardlaw, Amos J. Storkey:
Development of a Deep Learning Method to Identify Acute Ischemic Stroke Lesions on Brain CT. CoRR abs/2309.17320 (2023) - [i9]Fady Rezk, Antreas Antoniou, Henry Gouk, Timothy M. Hospedales:
Is Scaling Learned Optimizers Worth It? Evaluating The Value of VeLO's 4000 TPU Months. CoRR abs/2310.18191 (2023) - 2022
- [j1]Timothy M. Hospedales, Antreas Antoniou, Paul Micaelli, Amos J. Storkey:
Meta-Learning in Neural Networks: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5149-5169 (2022) - 2020
- [i8]Timothy M. Hospedales, Antreas Antoniou, Paul Micaelli, Amos J. Storkey:
Meta-Learning in Neural Networks: A Survey. CoRR abs/2004.05439 (2020) - [i7]Antreas Antoniou, Massimiliano Patacchiola, Mateusz Ochal, Amos J. Storkey:
Defining Benchmarks for Continual Few-Shot Learning. CoRR abs/2004.11967 (2020)
2010 – 2019
- 2019
- [c4]Antreas Antoniou, Harrison Edwards, Amos J. Storkey:
How to train your MAML. ICLR (Poster) 2019 - [c3]Antreas Antoniou, Amos J. Storkey:
Learning to Learn By Self-Critique. NeurIPS 2019: 9936-9946 - [i6]Antreas Antoniou, Amos J. Storkey:
Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation. CoRR abs/1902.09884 (2019) - [i5]Antreas Antoniou, Amos J. Storkey:
Learning to learn via Self-Critique. CoRR abs/1905.10295 (2019) - 2018
- [c2]Antreas Antoniou, Amos J. Storkey, Harrison Edwards:
Augmenting Image Classifiers Using Data Augmentation Generative Adversarial Networks. ICANN (3) 2018: 594-603 - [i4]Luke Nicholas Darlow, Elliot J. Crowley, Antreas Antoniou, Amos J. Storkey:
CINIC-10 is not ImageNet or CIFAR-10. CoRR abs/1810.03505 (2018) - [i3]Antreas Antoniou, Harrison Edwards, Amos J. Storkey:
How to train your MAML. CoRR abs/1810.09502 (2018) - [i2]Antreas Antoniou, Agnieszka Slowik, Elliot J. Crowley, Amos J. Storkey:
Dilated DenseNets for Relational Reasoning. CoRR abs/1811.00410 (2018) - 2017
- [i1]Antreas Antoniou, Amos J. Storkey, Harrison Edwards:
Data Augmentation Generative Adversarial Networks. CoRR abs/1711.04340 (2017) - 2016
- [c1]Antreas Antoniou, Plamen Angelov:
A general purpose intelligent surveillance system for mobile devices using Deep Learning. IJCNN 2016: 2879-2886
Coauthor Index
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last updated on 2024-10-31 21:10 CET by the dblp team
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