Meta-Aggregating Networks for Class-Incremental Learning

By Yaoyao Liu, Bernt Schiele, Qianru Sun. 2020

6 citations recorded by the source corpus.

How researchers see this paper

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

1. Lanqing Hong
2. Shipeng Yan
3. Hang Xu
4. Zhenguo Li
5. Jianhua Han
6. Tinne Tuytelaars
7. Da-Wei Zhou
8. Xuming He

Citations in the corpus

• Generative Negative Text Replay for Continual Vision-Language Pretraining (2022, background): “Most state-of-the-art approaches [30] in traditional class incremental setting rely on the memory replay of representative old training samples [13].”
• AFEC: Active Forgetting of Negative Transfer in Continual Learning (2021, neutral): “Similarly, [6, 16, 34] attempted to more effectively balance stability and plasticity with the memory buffer in class incremental learning, while [33] stored and updated the old features.”