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I tried to reproduce the semisupervised learning task reported in the paper, but failed.
The running code is modified based on run.sh, as can be seen in the following. python main.py --lr 0.001 --net_type vgg --constraint 'DL2' --epochs 1600 --num_labeled 100 --dataset cifar100 --exp_name dl2_06 --constraint-weight 0.6
The results are
| Test Result Acc@1: 1.12%
| Test Result CAcc: 99.71%
| Test Result GroupAcc: 5.18%
Have I used the wrong experimental settings? What parameter settings I should add in order to reproduce the results?
Thanks for any reply.
The text was updated successfully, but these errors were encountered:
I tried to reproduce the semisupervised learning task reported in the paper, but failed.
The running code is modified based on run.sh, as can be seen in the following.
python main.py --lr 0.001 --net_type vgg --constraint 'DL2' --epochs 1600 --num_labeled 100 --dataset cifar100 --exp_name dl2_06 --constraint-weight 0.6
The results are
Have I used the wrong experimental settings? What parameter settings I should add in order to reproduce the results?
Thanks for any reply.
The text was updated successfully, but these errors were encountered: