920 citations · 1k across the 30 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
cs.LG2019★ 5 cited
Continual Learning Using Bayesian Neural Networks
HongLin Li, Payam Barnaghi, Shirin Enshaeifar +1
Continual learning models allow to learn and adapt to new changes and tasks over time. However, in continual and sequential learning scenarios in which the models are trained using…
cs.LG2019★ 6 cited
Continual Learning in Deep Neural Network by Using a Kalman Optimiser
Honglin Li, Shirin Enshaeifar, Frieder Ganz +1
Learning and adapting to new distributions or learning new tasks sequentially without forgetting the previously learned knowledge is a challenging phenomenon in continual learning…