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 zwzhu-d Update README.md May 17, 2023 534af48 · May 17, 2023 History 9 Commits
clip	clip	initiate	Oct 9, 2021
data	data	Update utils.py	Aug 2, 2022
exceptions	exceptions	initiate	Oct 9, 2021
models	models	initiate	Oct 9, 2021
out	out	initiate	Oct 9, 2021
rec_global	rec_global	initiate	Oct 9, 2021
LICENSE.md	LICENSE.md	Create LICENSE.md	Mar 12, 2023
README.md	README.md	Update README.md	May 17, 2023
global_var.py	global_var.py	initiate	Oct 9, 2021
hoc.py	hoc.py	initiate	Oct 9, 2021
main_fast.py	main_fast.py	Update main_fast.py	Jun 7, 2022
requirements.txt	requirements.txt	initiate	Oct 9, 2021
resnet.py	resnet.py	initiate	Oct 9, 2021
resnet_cifar.py	resnet_cifar.py	initiate	Oct 9, 2021
resnet_image.py	resnet_image.py	initiate	Oct 9, 2021
test_c100_instance.sh	test_c100_instance.sh	initiate	Oct 9, 2021
test_c10_instance.sh	test_c10_instance.sh	initiate	Oct 9, 2021
utils.py	utils.py	initiate	Oct 9, 2021