Detecting Corrupted Labels Without Training a Model to Predict

[Update 5/17/2023] SimiFeat is a module of Docta now!

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This code is a PyTorch implementation of the paper: Detecting Corrupted Labels Without Training a Model to Predict

Prerequisites

Python 3.6.9

PyTorch 1.7.1

Torchvision 0.8.2

Full list in ./requirements.txt

Datasets will be downloaded to ./data/.

On CIFAR-10 .

sh ./test_c10_instance.sh

On CIFAR-100

sh ./test_c100_instance.sh

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
clip		clip
data		data
exceptions		exceptions
models		models
out		out
rec_global		rec_global
LICENSE.md		LICENSE.md
README.md		README.md
global_var.py		global_var.py
hoc.py		hoc.py
main_fast.py		main_fast.py
requirements.txt		requirements.txt
resnet.py		resnet.py
resnet_cifar.py		resnet_cifar.py
resnet_image.py		resnet_image.py
test_c100_instance.sh		test_c100_instance.sh
test_c10_instance.sh		test_c10_instance.sh
utils.py		utils.py