Learning bayesian sparse networks with full experience replay for continual learning
Continual Learning (CL) methods aim to enable machine learning models to learn new
tasks without catastrophic forgetting of those that have been previously mastered. Existing …
tasks without catastrophic forgetting of those that have been previously mastered. Existing …
Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning
Q Yan, D Gong, Y Liu… - 2022 IEEE/CVF …, 2022 - ieeexplore.ieee.org
Continual Learning (CL) methods aim to enable machine learning models to learn new
tasks without catastrophic forgetting of those that have been previously mastered. Existing …
tasks without catastrophic forgetting of those that have been previously mastered. Existing …
Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning
Q Yan, D Gong, Y Liu, A van den Hengel… - 2022 IEEE/CVF …, 2022 - computer.org
Continual Learning (CL) methods aim to enable machine learning models to learn new
tasks without catastrophic forgetting of those that have been previously mastered. Existing …
tasks without catastrophic forgetting of those that have been previously mastered. Existing …