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Presentation Abstract:Â As the sizes of Large Language Models (LLMs) continue to grow exponentially, it becomes imperative to explore novel computing paradigms that can address the dual challenge of scaling […]
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Presentation Abstract: We propose and demonstrate a novel approach to training image classification models based on large collections of images with limited labels. We take advantage of availability of radiology […] |
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Presentation Abstract: Machine learning has been increasingly deployed for high-stakes decisions that deeply impact people's lives. My research focuses on developing interpretable algorithms and pipelines to ensure the safe and efficient […] |
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