Overcoming Catastrophic Forgetting by Bayesian Generative Regularization.
Pei-Hung ChenWei WeiCho-Jui HsiehBo DaiPublished in: ICML (2021)
Keyphrases
- data driven
- generative model
- conjugate priors
- bayesian networks
- maximum likelihood
- incremental learning
- bayesian estimation
- posterior probability
- bayesian methods
- regularization methods
- bayesian learning
- maximum entropy
- regularization parameter
- maximum entropy discrimination
- parameter selection
- data dependent
- neural network
- supervised learning
- bayesian analysis
- projection operator
- regularization term
- regularization method
- regularization framework
- bayesian network classifiers
- bayesian inference
- prior information
- unsupervised learning
- decision trees