Antreas Antoniou

Orcid: 0000-0001-5776-1204

According to our database1, Antreas Antoniou authored at least 16 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Adversarial Augmentation Training Makes Action Recognition Models More Robust to Realistic Video Distribution Shifts.
CoRR, 2024

2023
Is Scaling Learned Optimizers Worth It? Evaluating The Value of VeLO's 4000 TPU Months.
CoRR, 2023

Development of a Deep Learning Method to Identify Acute Ischemic Stroke Lesions on Brain CT.
CoRR, 2023

ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging.
Proceedings of the International Conference on Machine Learning, 2023

Contrastive Meta-Learning for Partially Observable Few-Shot Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Meta-Learning in Neural Networks: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

2020
Defining Benchmarks for Continual Few-Shot Learning.
CoRR, 2020

2019
Learning to learn via Self-Critique.
CoRR, 2019

Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation.
CoRR, 2019

Learning to Learn By Self-Critique.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

How to train your MAML.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Dilated DenseNets for Relational Reasoning.
CoRR, 2018

CINIC-10 is not ImageNet or CIFAR-10.
CoRR, 2018

Augmenting Image Classifiers Using Data Augmentation Generative Adversarial Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017
Data Augmentation Generative Adversarial Networks.
CoRR, 2017

2016
A general purpose intelligent surveillance system for mobile devices using Deep Learning.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016


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