3 papers
cs.AI2024
Foundations for Unfairness in Anomaly Detection -- Case Studies in Facial Imaging Data
Michael Livanos, Ian Davidson
Deep anomaly detection (AD) is perhaps the most controversial of data analytic tasks as it identifies entities that are then specifically targeted for further investigation or excl…
cs.AI2024
Identification and Uses of Deep Learning Backbones via Pattern Mining
Michael Livanos, Ian Davidson
Deep learning is extensively used in many areas of data mining as a black-box method with impressive results. However, understanding the core mechanism of how deep learning makes p…
cs.LG2024
Cooperative Knowledge Distillation: A Learner Agnostic Approach
Michael Livanos, Ian Davidson, Stephen Wong
Knowledge distillation is a simple but powerful way to transfer knowledge between a teacher model to a student model. Existing work suffers from at least one of the following key l…