3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Spatio-Temporal Attention Graph Neural Network for Remaining Useful Life Prediction
Zhixin Huang, Yujiang He, Bernhard Sick
Remaining useful life prediction plays a crucial role in the health management of industrial systems. Given the increasing complexity of systems, data-driven predictive models have…
cs.LG2022
Efficient Bayesian Updates for Deep Active Learning via Laplace Approximations
Denis Huseljic, Marek Herde, Lukas Rauch +5
Deep active learning (AL) selects batches of instances for annotation to avoid retraining deep neural networks (DNNs) after each new label. Employing a naive top- selection can…
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…