Explaining Machine Learning Algorithms

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evaluation measuring understanding

About This Site

This site serves as a living literature review for exploring the domain of explainability. If you have written a paper or come across an interesting paper that is not already in the repository, please consider adding it by sending a pull request.

Contributing

This research area is evolving so fast that a static review cannot keep up. But a website can! We hope to make this site a living document. Anyone can add a paper to this web site, essentially by creating one Markdown file. To contribute, open a pull request in GitHub, by following these instructions for contributing.

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Contributors to the website

This website accepts external contributions. Please, feel free to add your name below, once you contribute to this website. A comprehensive list can be found here.

Avinash Bhat