Skip to content

QizhouWang/instance-dependent-label-noise

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

instance-dependent-label-noise

AAAA'21: Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model (Pytorch implementation).

========

This is the code for the paper:

Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model

Qizhou Wang, Bo Han, Tongliang Liu, Gang Niu, Jian Yang, Chen Gong.

To be presented at AAAI 2021.

If you find this code useful in your research then please cite

@inproceedings{wang2021tackling_instance,
title={Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model},
author={Qizhou Wang and Bo Han and Tongliang Liu and Gang Niu and Jian Yang and
 Chen Gong},
booktitle={AAAI},
pages={10183--10191},
year={2021}
}

Setups

All code was developed and tested on a single machine equiped with a NVIDIA GTX3090 GPU. The environment is as bellow:

  • Window 10

  • CUDA 10.2.89

  • Python 3.7.6 (Anaconda 4.9.2 64 bit)

  • PyTorch 1.5.0

  • numpy 1.18.1

Running Max-Matching on benchmark datasets from Amazon

Here is an example:

python main.py

Contact: Qizhou Wang ([email protected]).

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages