A toolkit for quantitative evaluation of data attribution methods.
-
Updated
Jun 19, 2025 - Jupyter Notebook
#
data-attribution
Here are 8 public repositories matching this topic...
Intriguing Properties of Data Attribution on Diffusion Models (ICLR 2024)
attribution interpretability influence-functions diffusion-models ddpm data-valuation data-centric-ai stable-diffusion data-attribution
-
Updated
Jan 23, 2024 - Jupyter Notebook
Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"
-
Updated
Dec 12, 2023 - Python
-
Updated
Jul 20, 2023 - Python
Official implementation of the paper "Most Influential Subset Selection: Challenges, Promises, and Beyond" (NeurIPS2024)
-
Updated
Feb 6, 2025 - Jupyter Notebook
A unified framework for attributing model components, data, and training dynamics to model behavior.
neural-networks interpretability explainability training-dynamics data-attribution model-attribution kernel-machines
-
Updated
May 27, 2025 - Python
Code for "An Efficient Framework for Crediting Data Contributors of Diffusion Models" ICLR2025
-
Updated
Jun 17, 2025 - Jupyter Notebook
part of the MIT Center for Brains Minds + Machines computational tutorial series
-
Updated
Oct 17, 2024 - Jupyter Notebook
Improve this page
Add a description, image, and links to the data-attribution topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the data-attribution topic, visit your repo's landing page and select "manage topics."