A toolkit for quantitative evaluation of data attribution methods.
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Updated
Jul 14, 2025 - 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"
A unified framework for attributing model components, data, and training dynamics to model behavior.
Official implementation of the paper "Most Influential Subset Selection: Challenges, Promises, and Beyond" (NeurIPS2024)
Code for "An Efficient Framework for Crediting Data Contributors of Diffusion Models" ICLR2025
part of the MIT Center for Brains Minds + Machines computational tutorial series
Code for training and testing AR-Detector method from the paper "Region-Level Data Attribution for Text-to-Image Generative Models" (ICCV 2025)
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