Helpful or Harmful: Inter-task Association in Continual Learning
By Hyundong Jin, Eunwoo Kim. 2022
37 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Meta & Continual Learning, Statistical Learning Theory
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Hang Su
- Jun Zhu
- Liyuan Wang
- Xingxing Zhang
- Tianyu Pang
- Yinpeng Dong
- Vamsi Krishna Ithapu
- Mirella Lapata
In Computer Vision and Pattern Recognition
- Hang Su
- Jun Zhu
- Liyuan Wang
- Xingxing Zhang
- Yinpeng Dong
- Vamsi Krishna Ithapu
- Alan L. Yuille
- Tianyu Pang
In Meta & Continual Learning
- Xingxing Zhang
- Liyuan Wang
- Hang Su
- Jun Zhu
- Simone Scardapane
- Valerio Marsocci
- Liyuan Wang
- Hongwei Yan
In Statistical Learning Theory
Citations in the corpus
- A Comprehensive Survey of Continual Learning: Theory, Method and Application (2023, background): “Also, the function of task-identity prediction can be explicitly learned from incremental tasks, using other continual learning strategies to mitigate catastrophic forgetting [1], [79], [107], [160], [189], [221], [294].”