DETAILED NOTES ON USEFUL LINKS

Detailed Notes on Useful Links

Detailed Notes on Useful Links

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Ethics and liable use: Any moral implications of new datasets needs to be tackled and pointers for accountable use must be presented exactly where proper. Note that, In case your submission contains publicly offered datasets (e.

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Benchmark submissions in particular need to get treatment to make sure sufficient details are supplied to make sure reproducibility. If submissions involve code, be sure to confer with the NeurIPS code submission recommendations.

Venture Assistance: This document describes help available to instructors for assigning projects to pupils.

Reproducibility: All submissions needs to be accompanied by enough facts to breed the final results described i.e. all important datasets, code, and analysis procedures has to be available and documented. We stimulate using a reproducibility framework such as the ML reproducibility Useful Links checklist to ensure that all outcomes might be very easily reproduced.

Consent and privacy: For every NeurIPS ethics rules, datasets should reduce the publicity of any Individually identifiable data, Until knowledgeable consent from Individuals individuals is furnished to take action.

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All through submission, it is possible to incorporate a community hyperlink for the dataset or benchmark knowledge. If the dataset can only be unveiled later, you have to incorporate Guidance for reviewers on how to access the dataset. This could certainly only be finished immediately after the main submission by sending an Formal Be aware into the reviewers in OpenReview.

URL to Croissant metadata file documenting the dataset/benchmark accessible for viewing and downloading via the reviewers. You are able to produce your Croissant metadata working with e.g. the Python library readily available right here:

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