Continual Learning with Generative Replay via Discriminative Variational Autoencoder

By Woo-Young Kang, Byoung-Tak Zhang. 2018

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Jung-Woo Ha
2. Jonghyun Choi
3. Jihwan Bang
4. Heesu Kim
5. Y. Yoo
6. Zhen Wang
7. Gyuhak Kim
8. Byeonghwi Kim

Citations in the corpus

• Rainbow Memory: Continual Learning with a Memory of Diverse Samples (2021, methodology): “To address the issue of changing data distribution for continual learning, there are many proposals in the literature, such as momentum matching [29], sample generation [42, 46, 24, 43], regularization on parameters [27, 5], and sampling-based memory management [38, 39].”