Antreas Antoniou

According to our database, Antreas Antoniou authored at least 17 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

einspace: Searching for Neural Architectures from Fundamental Operations.

Linus Ericsson, Miguel Espinosa, Chenhongyi Yang, Antreas Antoniou, Amos J. Storkey, Shay B. Cohen, Steven McDonagh, Elliot J. Crowley

CoRR, 2024

Adversarial Augmentation Training Makes Action Recognition Models More Robust to Realistic Video Distribution Shifts.

Kiyoon Kim, Shreyank N. Gowda, Panagiotis Eustratiadis, Antreas Antoniou, Robert B. Fisher

CoRR, 2024

2023

Development of a Deep Learning Method to Identify Acute Ischemic Stroke Lesions on Brain CT.

Alessandro Fontanella, Wenwen Li, Grant Mair, Antreas Antoniou, Eleanor Platt, Paul A. Armitage, Emanuele Trucco, Joanna M. Wardlaw, Amos J. Storkey

CoRR, 2023

ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging.

Alessandro Fontanella, Antreas Antoniou, Wenwen Li, Joanna M. Wardlaw, Grant Mair, Emanuele Trucco, Amos J. Storkey

Proceedings of the International Conference on Machine Learning, 2023

Contrastive Meta-Learning for Partially Observable Few-Shot Learning.

Adam Jelley, Amos J. Storkey, Antreas Antoniou, Sam Devlin

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Is Scaling Learned Optimizers Worth It? Evaluating The Value of VeLO's 4000 TPU Months.

Fady Rezk, Antreas Antoniou, Henry Gouk, Timothy M. Hospedales

Proceedings of the Proceedings on "I Can't Believe It's Not Better: Failure Modes in the Age of Foundation Models" at NeurIPS 2023 Workshops, 2023

2022

Meta-Learning in Neural Networks: A Survey.

Timothy M. Hospedales, Antreas Antoniou, Paul Micaelli, Amos J. Storkey

IEEE Trans. Pattern Anal. Mach. Intell., 2022

2020

Defining Benchmarks for Continual Few-Shot Learning.

Antreas Antoniou, Massimiliano Patacchiola, Mateusz Ochal, Amos J. Storkey

CoRR, 2020

2019

Learning to learn via Self-Critique.

Antreas Antoniou, Amos J. Storkey

CoRR, 2019

Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation.

Antreas Antoniou, Amos J. Storkey

CoRR, 2019

Learning to Learn By Self-Critique.

Antreas Antoniou, Amos J. Storkey

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

How to train your MAML.

Antreas Antoniou, Harrison Edwards, Amos J. Storkey

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Dilated DenseNets for Relational Reasoning.

Antreas Antoniou, Agnieszka Slowik, Elliot J. Crowley, Amos J. Storkey

CoRR, 2018

CINIC-10 is not ImageNet or CIFAR-10.

Luke Nicholas Darlow, Elliot J. Crowley, Antreas Antoniou, Amos J. Storkey

CoRR, 2018

Augmenting Image Classifiers Using Data Augmentation Generative Adversarial Networks.

Antreas Antoniou, Amos J. Storkey, Harrison Edwards

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017

Data Augmentation Generative Adversarial Networks.

Antreas Antoniou, Amos J. Storkey, Harrison Edwards

CoRR, 2017

2016

A general purpose intelligent surveillance system for mobile devices using Deep Learning.

Antreas Antoniou, Plamen Angelov

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016