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Readme: emphasize codalab, imagenet logits
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README.md

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@@ -105,11 +105,12 @@ In our paper, we show that:
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The experiments folder contains experiments for the paper.
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See our CodaLab worksheet https://worksheets.codalab.org/worksheets/0xb6d027ee127e422989ab9115726c5411 which contains all the experiment runs and the exact code used to produce them. You can download ImageNet logits from CodaLab as well: from https://worksheets.codalab.org/bundles/0x81c9c8a9bf6c47f59f45f6fc80790c3c download imagenet_logits.dat and put them into the data folder.
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We have 4 sets of experiments:
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- Showing the Platt scaling is less calibrated than reported (Section 3)
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- Comparing the scaling binning calibrator with histogram binning on CIFAR-10 and ImageNet (Section 4)
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- Synthetic experiments to validate our theoretical bounds (Section 4)
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- Experiments showing the debiased estimator can estimate calibration error with fewer samples than standard estimator (Section 5)
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Running each experiment saves plots in the corresponding folder in saved_files
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See our CodaLab worksheet https://worksheets.codalab.org/worksheets/0xb6d027ee127e422989ab9115726c5411 which contains all the experiment runs and the exact code used to produce them.

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