A toolkit for quantitative evaluation of data attribution methods.
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Updated
Dec 6, 2024 - Jupyter Notebook
A toolkit for quantitative evaluation of data attribution methods.
Intriguing Properties of Data Attribution on Diffusion Models (ICLR 2024)
Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"
Official implementation of the paper "Most Influential Subset Selection: Challenges, Promises, and Beyond" (NeurIPS2024)
part of the MIT Center for Brains Minds + Machines computational tutorial series
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