Baseline (L2-SP and L-PGM) implementation in your paper. about regularized-self-labeling HOT 1 OPEN

Hi Kaiwen,

To use L2-SP, you can specify the --reg_method as penalty in the script train_constraint.py. Then, you can use --reg_extractor and --reg_predictor to specify the weights of the penalties when combining them with the loss.

To use L2-PGM, you can specify the --reg_method as constraint. Then, you can use --reg_extractor and --reg_predictor to specify the L2 distances of the constraints.

As an example of the training process, take a look at the ConstraintTrainer within the train_constraint.py script.

from regularized-self-labeling.