Contextualizing Multiple Tasks via Learning to Decompose

By Han-Jia Ye, Lanqing Hong, Zhenguo Li, Xiu-Shen Wei, De-chuan Zhan. 2021

5 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. Fu-Yun Wang
2. Liang Ma
3. Shiliang Pu
4. Da-Wei Zhou
5. Han-Jia Ye

Citations in the corpus

• Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks (2022, background): “Few-Shot Learning aims to extract the inductive bias from base classes and generalize it to unseen classes [44], [45], [46], [47], [48].”
• Forward Compatible Few-Shot Class-Incremental Learning (2022, background): “Recent years have witnessed the significant breakthroughs of deep neuron networks in many vision tasks [14, 19, 36, 40, 54].”