[21] Ju Xu and Zhanxing Zhu. Reinforced continual learning. In Proceedings of the 32nd International Conference on Neural Information Processing Systems, pages 907-916, 2018.
[22] Mitchell Wortsman, Vivek Ramanujan, Rosanne Liu, Aniruddha Kembhavi, Mohammad Rastegari, Jason Yosinski, and Ali Farhadi. Supermasks in superposition. In Advances in Neural Information Processing Systems, volume 33, pages 15173-15184, 2020.
[23] Pratik Mazumder, Pravendra Singh, and Piyush Rai. Few-shot lifelong learning. In Proceedings of the AAAI Conference on Artificial Intelligence, volume 35, pages 2337-2345, 2021.
[24] Almut Hupbach, Rebecca Gomez, Oliver Hardt, and Lynn Nadel. Reconsolidation of episodic memories: A subtle reminder triggers integration of new information. Learning & memory, 14(1-2):47-53, 2007.
[25] Sang-Woo Lee, Jin-Hwa Kim, Jaehyun Jun, Jung-Woo Ha, and Byoung-Tak Zhang. Overcoming catastrophic forgetting by incremental moment matching. Advances in neural information processing systems, 30, 2017.
[26] Hongjoon Ahn, Sungmin Cha, Donggyu Lee, and Taesup Moon. Uncertainty-based continual learning with adaptive regularization. In Advances in Neural Information Processing Systems, volume 32, pages 4392-4402, 2019.
[27] Jie Zhang, Junting Zhang, Shalini Ghosh, Dawei Li, Jingwen Zhu, Heming Zhang, and Yalin Wang. Regularize, expand and compress: Nonexpansive continual learning. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pages 854-862, 2020.
[28] Friedemann Zenke, Ben Poole, and Surya Ganguli. Continual learning through synaptic intelligence. In International Conference on Machine Learning, pages 3987-3995. PMLR, 2017.
[29] David Rolnick, Arun Ahuja, Jonathan Schwarz, Timothy P Lillicrap, and Greg Wayne. Experience replay for continual learning. In Proceedings of the 33rd International Conference on Neural Information Processing Systems, pages 350-360, 2019.
[30] Liyuan Wang, Xingxing Zhang, Kuo Yang, Longhui Yu, Chongxuan Li, Lanqing HONG, Shifeng Zhang, Zhenguo Li, Yi Zhong, and Jun Zhu. Memory replay with data compression for continual learning. In International Conference on Learning Representations, pages 1-25, 2022.
[31] Huiping Zhuang, Zhenyu Weng, Hongxin Wei, Renchunzi Xie, Kar-Ann Toh, and Zhiping Lin. Acil: Analytic class-incremental learning with absolute memorization and privacy protection. In Advances in Neural Information Processing Systems, volume 35, pages 11602–11614, 2022.
[32] David Lopez-Paz and Marc'Aurelio Ranzato. Gradient episodic memory for continual learning. In Proceedings of the 31st International Conference on Neural Information Processing Systems, pages 6470-6479, 2017.
[33] Huan Liu, Li Gu, Zhixiang Chi, Yang Wang, Yuanhao Yu, Jun Chen, and Jin Tang. Few-shot class-incremental learning via entropy-regularized data-free replay. In European Conference on Computer Vision, pages 146–162. Springer, 2022.
[34] Yoojin Choi, Mostafa El-Khamy, and Jungwon Lee. Dual-teacher class-incremental learning with data-free generative replay. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 3543–3552, 2021.
[35] Mozhgan PourKeshavarzi, Guoying Zhao, and Mohammad Sabokrou. Looking back on learned experiences for class/task incremental learning. In International Conference on Learning Representations, 2022.
[36] Jaehong Yoon, Eunho Yang, Jeongtae Lee, and Sung Ju Hwang. Lifelong learning with dynamically expandable networks. In International Conference on Learning Representations, pages 1-11, 2018.