Continual Learning via Principal Components Projection

By Gyuhak Kim, Bing Liu. 2019

3 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. Bin Liu
2. Tatsuya Konishi
3. Zixuan Ke
4. Gyuhak Kim
5. Bing Liu
6. D. Raoufi
7. Changnan Xiao
8. Jorge Armando Mendez Mendez

Citations in the corpus

• Learnability and Algorithm for Continual Learning (2023, methodology): “Orthogonal projection methods learn each task in an orthogonal space to other tasks to reduce task interference or CF (Zeng et al., 2019; Kim & Liu, 2020; Chaudhry et al., 2020; Lin et al., 2022).”
• A Multi-Head Model for Continual Learning via Out-of-Distribution Replay (2022, methodology): “Some such methods (Kim & Liu, 2020; Chaudhry et al., 2020; Saha et al., 2021) require task-id for more complex tasks to recall the task-specific projection at inference.”