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[NeurIPS2023] Calibrating “Cheap Signals” in Peer Review without a Prior

Description

This code repository contains the numerical experiments carried out in the paper, including the plotting of the experimental result images.

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Requirements

The python file runs on Python 3.7, including matplotlib==3.5.1, numpy==1.21.5 and scipy==1.7.3. See requirements.txt.

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The cached experimental data is saved in the ./save folder, and the process of generating experimental data is deterministic. To use the cached experimental data to draw figures, type python ./paint.py in the terminal. The code can be regenerate the experimental data by modifying the load parameter to calc. Generating the experimental data takes about half a day.

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[NeurIPS2023] Calibrating “Cheap Signals” in Peer Review without a Prior

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