Peter Hase. PhD student at UNC-NLP. Interested in interpretable ML, NLP, and AI Safety. Follow. Chapel Hill, NC; Email · LinkedIn · Github. Research.
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I am a PhD student in the UNC-NLP group at UNC Chapel Hill. - peterbhase.
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My research interests center on interpretable machine learning and natural language processing. ... I find work on clarifying concepts and developing strong ...
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Google PhD Fellow at @uncnlp. Interested in interpretable ML, natural language processing, AI Safety, and Effective Altruism.
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Code for paper "When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data" - peterbhase/ExplanationRoles.
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This is the repository for the paper here, including code for measuring OOD-ness of explanation counterfactuals and several new search methods for ...
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To view and interpret model prototypes, which can be done without training a model using our provided images, use view_protos.ipynb and nearest_neighbors.ipynb ...
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Research Assistant Prof, Human Genetics, U. Chicago; previously, Staff Scientist at Ancestry, postdoc & HFSP fellow at U. Chicago, & Ph.D. at UBC - pcarbo.
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