Variance-Covariance Regularization Improves Continual Learning

In this work, we explore the benefits of Variance-Covariance Regularization in Continual Learning (CL). Neural networks suffer from abrupt performance loss when updated with additional data. Numerous CL approaches try to mitigate this problem by preserving the already accumulated knowledge within th... View More