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Adversarial robustness of $β-$VAE through the lens of local geometry


Aug 08, 2022
Asif Khan, Amos Storkey

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* The 2022 ICML Workshop on New Frontiers in Adversarial Machine Learning 

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Robust and efficient computation of retinal fractal dimension through deep approximation


Jul 12, 2022
Justin Engelmann, Ana Villaplana-Velasco, Amos Storkey, Miguel O. Bernabeu

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Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning


Jul 05, 2022
Lukas Schäfer, Filippos Christianos, Amos Storkey, Stefano V. Albrecht

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* Preprint. Under review 

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Detection of multiple retinal diseases in ultra-widefield fundus images using deep learning: data-driven identification of relevant regions


Mar 11, 2022
Justin Engelmann, Alice D. McTrusty, Ian J. C. MacCormick, Emma Pead, Amos Storkey, Miguel O. Bernabeu

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Prediction-Guided Distillation for Dense Object Detection


Mar 10, 2022
Chenhongyi Yang, Mateusz Ochal, Amos Storkey, Elliot J. Crowley

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Global explainability in aligned image modalities


Dec 17, 2021
Justin Engelmann, Amos Storkey, Miguel O. Bernabeu

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Hamiltonian prior to Disentangle Content and Motion in Image Sequences


Dec 02, 2021
Asif Khan, Amos Storkey

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* Controllable Generative Modeling in Language and Vision Workshop at NeurIPS 2021 

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Better Training using Weight-Constrained Stochastic Dynamics


Jun 20, 2021
Benedict Leimkuhler, Tiffany Vlaar, Timothée Pouchon, Amos Storkey

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* Proceedings of the 38th International Conference on Machine Learning, PMLR 139, 2021 
* ICML 2021 camera-ready. arXiv admin note: substantial text overlap with arXiv:2006.10114 

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How Sensitive are Meta-Learners to Dataset Imbalance?


Apr 12, 2021
Mateusz Ochal, Massimiliano Patacchiola, Amos Storkey, Jose Vazquez, Sen Wang

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* Published as a workshop paper at the Learning to Learn workshop at ICLR 2021. arXiv admin note: text overlap with arXiv:2101.02523 

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Few-Shot Learning with Class Imbalance


Jan 07, 2021
Mateusz Ochal, Massimiliano Patacchiola, Amos Storkey, Jose Vazquez, Sen Wang

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* [Under Review] 

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