GitHub topics: data-attribution

Code for "An Efficient Framework for Crediting Data Contributors of Diffusion Models" ICLR2025

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A toolkit for quantitative evaluation of data attribution methods.

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A unified framework for attributing model components, data, and training dynamics to model behavior.

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Intriguing Properties of Data Attribution on Diffusion Models (ICLR 2024)

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Official implementation of the paper "Most Influential Subset Selection: Challenges, Promises, and Beyond" (NeurIPS2024)

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part of the MIT Center for Brains Minds + Machines computational tutorial series

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Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"

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