Browsing Department of Computational and Data Sciences (CDS) by Subject "Artificial Intelligence"

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Methods for Improving Data-efficiency and Trustworthiness using Natural Language Supervision

Kumar, Sawan

Traditional strategies to build machine learning based classification systems employ discrete labels as targets. This limits the usefulness of such systems in two ways. First, the generalizability of these systems is limited ...
Unsupervised Test-time Adaptation for Patient-Specific Deep Learning Models in Medical Imaging

Ravishankar, Hariharan

Deep learning (DL) models have achieved state-of-the-art results in multiple medical imaging applications, resulting in the widespread adoption of artificial intelligence (AI) models for radiological workflows. Despite ...