Browsing by Subject "Deep learning"

Navigation

Now showing items 1-3 of 3

Deep Lexical Hypothesis: Identifying personality structure in natural language

Cutler, Andrew; Condon, David M. (Cornell University, 2022-03-04)

Recent advances in natural language processing (NLP) have produced general models that can perform complex tasks such as summarizing long passages and translating across languages. Here, we introduce a method to extract ...
Understanding Perceived Sense of Movement in Static Visuals Using Deep Learning

Kale, Shravan (University of Oregon, 2019-01-11)

This thesis introduces the problem of learning the representation and the classification of the perceived sense of movement, defined as dynamism in static visuals. To solve the said problem, we study the definition, degree, ...
Vision Transformers Under Data Poisoning Attacks

Peery, Gabriel (University of Oregon, 2023)

Owing to state-of-the-art performance and parallelizability, the Vision Transformer architecture is growing in prevalence for security-critical computer vision tasks. Designers may collect training images from public ...