2 papers
cs.LG2025
Improving Large-Scale Recommender Systems with Auxiliary Learning
Mertcan Cokbas, Ziteng Liu, Zeyi Tao +10
Training large-scale recommendation models under a single global objective implicitly assumes homogeneity across user populations. However, real-world data are composites of hetero…
cs.CV2018
Automated Characterization of Stenosis in Invasive Coronary Angiography Images with Convolutional Neural Networks
Benjamin Au, Uri Shaham, Sanket Dhruva +7
The determination of a coronary stenosis and its severity in current clinical workflow is typically accomplished manually via physician visual assessment (PVA) during invasive coro…