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ericzhao28 · Oct 14, 2022 · cfe84ad · cfe84ad
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+*.swp
+*.swo
+*.pyc
+**/*.pyc
+**/*.swp
+**/*.swo
+logs
+slurm_logs
+multiNLI
+waterbirds
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+# On-Demand Sampling: Learning Optimally from Multiple Distributions
+
+This is an early-release of the code used in the experiments of the Neurips 2022 paper [On-Demand Sampling:
+Learning Optimally from Multiple Distributions (HJZ 22)](https://eric-zhao.com/files/On-Demand%20Sampling%20%5bNeurips%202022%5d.pdf).
+
+### Instructions
+First, download the Waterbirds, MultiNLI, and CelebA datasets to the root of this project.
+Then, run `ready.sh`, which will call `run.sh`.
+The latter script will run the experiments.
+When complete, the paper's figures can be reproduced by running the `generate_paper_results.py` script.
+
+### Acknowledgements
+This codebase is based in large part on the codebase of [the Group DRO implementation of the original authors of S. Sagawa, et al. 2019](https://github.com/kohpangwei/group_DRO).