143 citations · 418 across the 21 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2022
Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning
Dong Gong, Qingsen Yan, Yuhang Liu +2
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 CL ap…
cs.LG2018★ 1 cited
Variational Bayesian Dropout with a Hierarchical Prior
Yuhang Liu, Wenyong Dong, Lei Zhang +2
Variational dropout (VD) is a generalization of Gaussian dropout, which aims at inferring the posterior of network weights based on a log-uniform prior on them to learn these weigh…