Browsing Division of Interdisciplinary Research by Subject "Artificial Intelligence"
Now showing items 1-3 of 3
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Methods for Improving Data-efficiency and Trustworthiness using Natural Language Supervision
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 ... -
Regress-Later with Interpretable Neural Networks for Pricing, Static hedging and Exposure management of Financial Derivatives
In the past two decades, there has been a significant growth in the trading of financial derivatives, witnessed in both Centralised Exchange and Over-The-Counter (OTC) markets. One of the main reasons for this growth is ... -
Unsupervised Test-time Adaptation for Patient-Specific Deep Learning Models in Medical Imaging
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 ...