SQUIDS Seminar (HIMR-funded): Dissecting Deep Neural Networks
| Dates: | 13 May 2026 |
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| Times: | 13:00 - 14:00 |
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| What is it: | Seminar |
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| Organiser: | Department of Mathematics |
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| Who is it for: | University staff, External researchers, Current University students |
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| Speaker: | Tiffany Vlaar |
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Speaker: Dr Tiffany Vlaar (University of Glasgow)
Abstract:
First, I will discuss the role played by individual layers and substructures of deep neural networks. Layer-wise sensitivity to the choice of initialisation and optimiser hyperparameter settings varies. I will show that training neural network layers differently can lead to enhanced generalisation performance and/or reduced computational cost, as well as affect resulting adversarial robustness. I will then consider the role of data and how image annotator variability in real-world ecological datasets affects the performance of deep learning models.
Speaker
Tiffany Vlaar
Organisation: University of Glasgow
Travel and Contact Information
Find event
Frank Adams Room 2
Alan Turing Building
Manchester
