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Ahmed Alaa - Professor, Electrical Engineering and Computer Science
Status: Full- no new appr needed Weekly Hours: 12 or more hours Location: On Campus
Self-supervised learning (SSL) is a crucial driver of much of the recent progress in vision and language modeling. In the SSL paradigm, a model is pre-trained through a pretext task that only involves unlabeled data—the pre-trained representation is then fine-tuned on downstream tasks of interest...
Digital Humanities and Data Science Engineering, Design & TechnologiesAhmed Alaa - Professor, Electrical Engineering and Computer Science
Status: Full- no new appr needed Weekly Hours: 12 or more hours Location: On Campus
In Self-supervised learning (SSL), a model is pre-trained through a pretext task that only involves unlabeled data—the pre-trained representation is then fine-tuned on downstream tasks of interest where only a small number of labeled examples may be available. In this project, we will explore novel...
Digital Humanities and Data Science Engineering, Design & TechnologiesAhmed Alaa - Professor, Electrical Engineering and Computer Science
Status: Current Term Now Closed Weekly Hours: 12 or more hours Location: On Campus
Large language models (LLMs) pre-trained on large corpora of text have demonstrated incredible capabilities across with zero- or few-shot performance in new tasks that differ from their pre-training objectives. In this projects, we will study the zero- and few-shot performance of LLMs repurposed to issue predictions...
Digital Humanities and Data Science Engineering, Design & TechnologiesAhmed Alaa - Professor, Electrical Engineering and Computer Science
Status: Full- no new appr needed Weekly Hours: 12 or more hours Location: On Campus
Institutional constraints and concerns over patient privacy impedes sharing of clinical data among researchers. High-fidelity synthetic data that mimics the real data distribution without revealing real data for individual patients can help empower and democratize research applying machine learning models to clinical problems. In this project, we will use...
Digital Humanities and Data Science Engineering, Design & Technologies