3 papers
cs.CV2026
Transfer Learning from One Cancer to Another via Deep Learning Domain Adaptation
Justin Cheung, Samuel Savine, Calvin Nguyen +2
Supervised deep learning models often achieve excellent performance within their training distribution but struggle to generalize beyond it. In cancer histopathology, for example,…
cs.CV2025
Improving Artifact Robustness for CT Deep Learning Models Without Labeled Artifact Images via Domain Adaptation
Justin Cheung, Samuel Savine, Calvin Nguyen +2
If a CT scanner introduces a new artifact not present in the training labels, the model may misclassify the images. Although modern CT scanners include design features which mitiga…
cs.LG2025
System-Aware Unlearning Algorithms: Use Lesser, Forget Faster
Linda Lu, Ayush Sekhari, Karthik Sridharan
Machine unlearning addresses the problem of updating a machine learning model/system trained on a dataset so that the influence of a set of deletion requests on…