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balanced-TCP

This project is an experimental implementation of the paper "Balance Calibration for Identifying Incorrect Classifications with Distinguishable Uncertainty" (under review in AISTATS 2022).

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dataset extension

Override new subclass of torch.utils.data.Dataset
Implement init(), getitem() and len()
Save your code into balanced-TCP/helpers/MyDataset.py

network extension

Setup a new .py file into balanced-TCP/models/
Inherit torch.nn.Module
Implement init() and forward()
Follow the examples given in balanced-TCP/models/

experiment extension

Setup a new .yaml file into balanced-TCP/conf/
Follow the examples given in balanced-TCP/conf/
Revise balanced-TCP/RUNME.sh for detailed settings

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PyTorch implementation of the paper "Identifying Incorrect Classifications with Balanced Uncertainty"

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