avalanche.training.LearningWithoutForgetting

class avalanche.training.LearningWithoutForgetting(alpha=1, temperature=2)

Learning Without Forgetting.

The method applies knowledge distilllation to mitigate forgetting. The teacher is the model checkpoint after the last experience.

__init__(alpha=1, temperature=2)

Parameters:

• alpha – distillation hyperparameter. It can be either a float number or a list containing alpha for each experience.

• temperature – softmax temperature for distillation

Methods

__init__([alpha, temperature])	param alpha: distillation hyperparameter. It can be either a float
post_adapt(agent, exp)	Save a copy of the model after each experience and update self.prev_classes to include the newly learned classes.
pre_adapt(agent, exp)
update(experience, model)	Save a copy of the model after each experience and

Attributes

prev_classes_by_task

In Avalanche, targets of different experiences are not ordered.