Measuring Forgetting of Memorized Training Examples.
Matthew JagielskiOm ThakkarFlorian TramèrDaphne IppolitoKatherine LeeNicholas CarliniEric WallaceShuang SongAbhradeep ThakurtaNicolas PapernotChiyuan ZhangPublished in: CoRR (2022)
Keyphrases
- training examples
- small number
- training set
- active learning
- learning algorithm
- training data
- object categories
- supervised learning
- training phase
- support vector
- training samples
- positive examples
- domain theory
- labeled data
- class labels
- class distribution
- positive and negative examples
- labeled examples
- sufficient training data
- unlabeled data
- data mining
- domain knowledge
- computer vision
- negative examples
- inductive bias