no code implementations • 17 Jan 2024 • Depeng Li, Tianqi Wang, Junwei Chen, Qining Ren, Kenji Kawaguchi, Zhigang Zeng
Deep neural networks are susceptible to catastrophic forgetting when trained on sequential tasks.
no code implementations • 21 Jun 2023 • Depeng Li, Zhigang Zeng
The inaccessibility of historical data is tackled by holistically controlling the parameters of a well-trained model, ensuring that the decision boundary learned fits new classes while retaining recognition of previously learned classes.
no code implementations • 18 Jun 2023 • Depeng Li, Tianqi Wang, Bingrong Xu, Kenji Kawaguchi, Zhigang Zeng, Ponnuthurai Nagaratnam Suganthan
Continual learning can incrementally absorb new concepts without interfering with previously learned knowledge.
no code implementations • 16 Jun 2023 • Depeng Li, Tianqi Wang, Junwei Chen, Kenji Kawaguchi, Cheng Lian, Zhigang Zeng
Multi-view learning (MVL) has gained great success in integrating information from multiple perspectives of a dataset to improve downstream task performance.