Anton Lee

Anton Lee profile picture

PhD Student
School of Engineering and Computer Science

Thesis Info

Research Interests: Continual Learning Deep Learning
Thesis Title: Continual Learning
Supervisor: Dr Heitor Murilo Gomes, Prof Bastiaan Kleijn, Dr Yaqian Zhang

 

Lee, A., Gomes, H. M., & Zhang, Y. (2022). Balancing the stability-plasticity dilemma with online stability tuning for continual learning. International Joint Conference on Neural Networks, IJCNN 2022, Padua, Italy, July 18-23, 2022, 1–8. https://doi.org/10.1109/IJCNN55064.2022.9892055

Lee, A., Zhang, Y., Gomes, H. M., Bifet, A., & Pfahringer, B. (2023). Look at me, no replay! SurpriseNet: Anomaly detection inspired class incremental learning. In I. Frommholz, F. Hopfgartner, M. Lee, M. Oakes, M. Lalmas, M. Zhang, & R. L. T. Santos (Eds.), Proceedings of the 32nd ACM international conference on information and knowledge management, CIKM 2023, birmingham, united kingdom, october 21-25, 2023 (pp. 4038–4042). ACM. https://doi.org/10.1145/3583780.3615236