3 citations · 3 across the 1 of their papers we have counts for
2 papers
cs.LG2022★ 3 cited
Design of Explainability Module with Experts in the Loop for Visualization and Dynamic Adjustment of Continual Learning
Yujiang He, Zhixin Huang, Bernhard Sick
Continual learning can enable neural networks to evolve by learning new tasks sequentially in task-changing scenarios. However, two general and related challenges should be overcom…
cs.LG2021
CLeaR: An Adaptive Continual Learning Framework for Regression Tasks
Yujiang He, Bernhard Sick
Catastrophic forgetting means that a trained neural network model gradually forgets the previously learned tasks when being retrained on new tasks. Overcoming the forgetting proble…