python >= 3.9, torch >= 1.12.1, torchvision >= 0.13.1, numpy >= 1.23.1

Check '*.json' file in the config folder for each exeriment.

• gpu: GPU id
• seed: random seed
• config: config name
• noise_type: 'sym' if use symmetric noise, 'asym' if use asymmetric noise
• noise_rate: noise rate
• eval_freq: frequency of evaluation, default is 1
• tuning: use the tuning settings (90% of the original training set as training set and 10% as validation set)

Training ANL-CE on CIFAR-10 with 0.8 symmetric noise:

python main.py \
--gpu 0 \
--seed 1 \
--config cifar10_anl_ce \
--noise_type sym \
--noise_rate 0.8 \
--eval_freq 10

Moreover, we thank the codes implemented by Ma et al. and Zhou et al..