19 citations · 25 across the 6 of their papers we have counts for
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cs.LG2023★ 3 cited
Complementary Learning Subnetworks for Parameter-Efficient Class-Incremental Learning
Depeng Li, Zhigang Zeng
In the scenario of class-incremental learning (CIL), deep neural networks have to adapt their model parameters to non-stationary data distributions, e.g., the emergence of new clas…
cs.LG2023★ 3 cited
IF2Net: Innately Forgetting-Free Networks for Continual Learning
Depeng Li, Tianqi Wang, Bingrong Xu +3
Continual learning can incrementally absorb new concepts without interfering with previously learned knowledge. Motivated by the characteristics of neural networks, in which inform…
cs.LG2023★ 19 cited
Multi-View Class Incremental Learning
Depeng Li, Tianqi Wang, Junwei Chen +3
Multi-view learning (MVL) has gained great success in integrating information from multiple perspectives of a dataset to improve downstream task performance. To make MVL methods mo…