Antreas Antoniou

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 22

Top Topics

Partially Observable

Action Recognition

Computer Vision And Image Processing

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

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 (2024)
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 (2024)
Adam Jelley, Amos J. Storkey, Antreas Antoniou, Sam Devlin
Contrastive Meta-Learning for Partially Observable Few-Shot Learning. CoRR (2023)
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)
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 (2023)
Adam Jelley, Amos J. Storkey, Antreas Antoniou, Sam Devlin
Contrastive Meta-Learning for Partially Observable Few-Shot Learning. ICLR (2023)
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 (2023)
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 (2023)
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)
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) (2022)
Antreas Antoniou, Massimiliano Patacchiola, Mateusz Ochal, Amos J. Storkey
Defining Benchmarks for Continual Few-Shot Learning. CoRR (2020)
Timothy M. Hospedales, Antreas Antoniou, Paul Micaelli, Amos J. Storkey
Meta-Learning in Neural Networks: A Survey. CoRR (2020)
Antreas Antoniou, Amos J. Storkey
Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation. CoRR (2019)
Antreas Antoniou, Amos J. Storkey
Learning to learn via Self-Critique. CoRR (2019)
Antreas Antoniou, Amos J. Storkey
Learning to Learn By Self-Critique. NeurIPS (2019)
Antreas Antoniou, Harrison Edwards, Amos J. Storkey
How to train your MAML. ICLR (Poster) (2019)
Antreas Antoniou, Harrison Edwards, Amos J. Storkey
How to train your MAML. CoRR (2018)
Luke Nicholas Darlow, Elliot J. Crowley, Antreas Antoniou, Amos J. Storkey
CINIC-10 is not ImageNet or CIFAR-10. CoRR (2018)
Antreas Antoniou, Agnieszka Slowik, Elliot J. Crowley, Amos J. Storkey
Dilated DenseNets for Relational Reasoning. CoRR (2018)
Antreas Antoniou, Amos J. Storkey, Harrison Edwards
Augmenting Image Classifiers Using Data Augmentation Generative Adversarial Networks. ICANN (3) (2018)
Antreas Antoniou, Amos J. Storkey, Harrison Edwards
Data Augmentation Generative Adversarial Networks. CoRR (2017)
Antreas Antoniou, Plamen Angelov
A general purpose intelligent surveillance system for mobile devices using Deep Learning. IJCNN (2016)