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PyTorch implementation of Agreement or Disagreement in Noise-tolerant Mutual Learning?
MLC.py
is used for training a model on dataset with noisy labels and validating it.
Here is an example:
python python MLC.py --dir experiment/ --dataset 'mnist' --noise_type sn --noise 0.2 --forget-rate 0.2
or you can train MLC with shel script:
sh script/mnist.sh
Agreement or Disagreement in Noise-tolerant Mutual Learning? (ICPR 2022)
Python Shell
Dear OpenI User
Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.
For more agreement content, please refer to the《Openl Qizhi Community AI Collaboration Platform Usage Agreement》