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Detecting Natural Language Biases with Prompt-based Learning
In this project, we want to explore the newly emerging field of prompt engineering and apply it to the downstream task of detecting LM biases.
Abnormality Detection and Localization in Chest X-Rays using Deep Convolutional Neural Networks
One remarkable result of the cardiomegaly localization is that the heart and its surrounding region is most responsible for cardiomegaly detection, in contrast to the rule based models where the ratio of heart and lung area is used as the measure.
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