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URRL

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This is the implementation of our arxiv paper (Robust Representation Learning for Unreliable Partial Label Learning).

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Name		Name	Last commit message	Last commit date
dataset		dataset
exclude_models		exclude_models
external_models		external_models
models		models
train_scripts		train_scripts
utils		utils
ExcludeNoisyLabels.py		ExcludeNoisyLabels.py
LICENSE		LICENSE
README.md		README.md
data_analyzer.py		data_analyzer.py
train.py		train.py
train_PiCO.py		train_PiCO.py
train_RCR.py		train_RCR.py
train_utils.py		train_utils.py

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UPLL with RS

Usage

Train

Train the model on CIFAR-10 dataset:

# TODO

Train the model on CIFAR-100 dataset:

# TODO

Monitoring training progress

tensorboard --logdir=<your out_dir>

Requirements

python 3.10
torch 1.11.0
torchvision
tensorboard
numpy
tqdm
apex (optional)

About

This is the implementation of our arxiv paper (Robust Representation Learning for Unreliable Partial Label Learning).

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