1. Eirikur Agustsson, Fabian Mentzer, Michael Tschannen, Lukas Cavigelli, Radu Timofte, Luca Benini, and Luc V Gool. 2017. Soft-to-hard vector quantization for end-to-end learning compressible representations. Advances in Neural Information Processing Systems, Vol. 30 (2017).
2. Rahaf Aljundi, Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Min Lin, Laurent Charlin, and Tinne Tuytelaars. 2019a. Online Continual Learning with Maximally Interfered Retrieval. Conference on Neural Information Processing Systems (2019).
3. Rahaf Aljundi, Min Lin, Baptiste Goujaud, and Yoshua Bengio. 2019b. Gradient based sample selection for online continual learning. Advances in Neural Information Processing Systems, Vol. 32 (2019).
4. On Handling Class Imbalance in Continual Learning based Network Intrusion Detection Systems
5. Elahe Arani, Fahad Sarfraz, and Bahram Zonooz. 2022. Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning System. In International Conference on Learning Representations.