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)
Mapping out the "memory" of neural nets with data attribution
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)
[ICLR2025] An Efficient Framework for Crediting Data Contributors of Diffusion Models
part of the MIT Center for Brains Minds + Machines computational tutorial series
[ICCV 2025] Code for training and testing AR-Detector method from the paper "Region-Level Data Attribution for Text-to-Image Generative Models"
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