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CIFAR-80

python Train_cifar.py --dataset cifar100 --num_class 80 --noise_mode sym --r 0.2 --lambda_u 25 --gpuid 0

python Train_cifar.py --dataset cifar100 --num_class 80 --noise_mode sym --r 0.8 --lambda_u 150 --gpuid 0

python Train_cifar.py --dataset cifar100 --num_class 80 --noise_mode asym --r 0.4 --lambda_u 25 --gpuid 0

CIFAR-100

python Train_cifar.py --dataset cifar100 --num_class 100 --noise_mode sym --r 0.2 --lambda_u 25 --gpuid 0

python Train_cifar.py --dataset cifar100 --num_class 100 --noise_mode sym --r 0.8 --lambda_u 150 --gpuid 0

python Train_cifar.py --dataset cifar100 --num_class 100 --noise_mode asym --r 0.4 --lambda_u 25 --gpuid 0

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Official Implementation of TCSVT'25 paper "A Unified Open Adapter for Open-World Noisy Label Learning: Data-Centric and Learning-Based Insights"

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