Three continual learning scenarios and a case for generative replay

By Gido M. van de Ven, Andreas S. Tolias. 2018

10 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Jonghyun Choi
2. Yeongwoo Nam
3. Dongmin Kang
4. Yeonsik Jo

Citations in the corpus

• Confidence Calibration for Incremental Learning (2020, methodology): “Specifically, we consider a classification problem where new sets of classes are added incrementally with a budgeted memory storing the training examples of past tasks, referred to as ‘classincremental learning’ [1].”