# A GOOD REPRESENTATION DETECTS NOISY LABELS

This code is a PyTorch implementation of the paper:

For anonymous review in ICLR 2022. DO NOT DISTRIBUTE.

## 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  
```
