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Personal research blog.
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Angus Galloway about blog publications Angus Galloway PhD Student in Systems Engineering University of Guelph Vector Institute Ontario, Canada My research aims to identify properties of deep neural networks (DNNs) that confer generalization and robustness to distribution shift. I believe that understanding the information-theoretic limitations of Deep Learning is a key step to this end, and may help establish predictive performance guarantees for safety-critical settings. My research interests are motivated by the “ adversarial examples ” phenomenon, whereby artificial intelligence (AI) models may be fooled by input manipulations that are deemed by many humans to be imperceptible or irrelevant. Adversarial examples highlight confirmation biases associated with common characterizations of representation learning in DNNs. For example the contribution of visually salient natural image features to categorical predictions may be over-estimated. As part of my broader ...
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