Browsing Theses by Subject "representation learning"
Now showing items 1-4 of 4
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Disentangled Representation Learning for Stylistic Variation in Neural Language Models
(University of Waterloo, 2018-08-14)The neural network has proven to be an effective machine learning method over the past decade, prompting its usage for modelling language, among several other domains. However, the latent representations learned by these ... -
Out-of-Distribution Generalization of Gigapixel Image Representation
(University of Waterloo, 2023-08-18)This thesis addresses the significant challenge of improving the generalization capabilities of artificial deep neural networks in the classification of whole slide images (WSIs) in histopathology across different and ... -
Representation Learning for Image Search in Histopathology
(University of Waterloo, 2024-01-26)Advancements in the field of Machine Learning (ML) have shown significant promise in complementing the endeavors of healthcare professionals. However, the widespread acceptance and trust in clinical applications necessitate ... -
A Self-Supervised Contrastive Learning Approach for Whole Slide Image Representation in Digital Pathology
(University of Waterloo, 2022-05-16)Digital pathology has recently expanded the field of medical image processing for di- agnostic reasons. Whole slide images (WSIs) of histopathology are often accompanied by information on the location and type of diseases ...