A GOOD REPRESENTATION DETECTS NOISY LABELS

This code is a PyTorch implementation of the paper:

Prerequisites

Python 3.6.9

PyTorch 1.7.1

Torchvision 0.8.2

Full list in ./requirements.txt

Datasets will be downloaded to ./data/.

Run HOC + Vote Based and Rank Based method

On CIFAR-10 .

sh ./test_c10_instance.sh  

On CIFAR-100

sh ./test_c100_instance.sh  

GitHub

GitHub - UCSC-REAL/SimiRep
Contribute to UCSC-REAL/SimiRep development by creating an account on GitHub.