Continual Learning with Filter Atom Swapping

By Zichen Miao, Ze Wang, Wei Chen, Qiang Qiu. 2022

36 citations recorded by the source corpus.

Subfields: Meta & Continual Learning

How researchers see this paper

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

In Meta & Continual Learning

1. Xingxing Zhang
2. Liyuan Wang
3. Hang Su
4. Jun Zhu
5. Simone Scardapane
6. Valerio Marsocci
7. Liyuan Wang
8. Hongwei Yan

Citations in the corpus

• A Comprehensive Survey of Continual Learning: Theory, Method and Application (2023, methodology): “Besides, the network parameters themselves can be decomposed into task-sharing and task-specific elements, such as by additive decomposition (APD [479]), singular value decomposition (RCM [197]), filter atom decomposition (FAS [300]) and lowrank factorization (IBP-WF [294], IRU [177]).”