[6] Elahe Arani, Fahad Sarfraz, and Bahram Zonooz. "Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning System". In: International Conference on Learning Representations. 2022. URL: https://openreview.net/forum?id=uxxFrDwrE7Y.
[7] Prashant Shivaram Bhat, Bahram Zonooz, and Elahe Arani. "Consistency is the key to further mitigating catastrophic forgetting in continual learning". In: Conference on Lifelong Learning Agents. PMLR. 2022, pp. 1195-1212.
[8] Prashant Shivaram Bhat, Bahram Zonooz, and Elahe Arani. "Task agnostic representation consolidation: a self-supervised based continual learning approach". In: Conference on Lifelong Learning Agents. PMLR. 2022, pp. 390-405.
[9] Pietro Buzzega et al. “Dark Experience for General Continual Learning: a Strong, Simple Baseline”. In: Advances in Neural Information Processing Systems. Vol. 33. Curran Associates, Inc., 2020, pp. 15920–15930.
[10] Pietro Buzzega et al. “Rethinking experience replay: a bag of tricks for continual learning”. In: 2020 25th International Conference on Pattern Recognition (ICPR). IEEE. 2021, pp. 2180–2187.
[11] Lucas Caccia et al. "New Insights on Reducing Abrupt Representation Change in Online Continual Learning". In: International Conference on Learning Representations. 2022.
[12] Hyuntak Cha, Jaeho Lee, and Jinwoo Shin. "Co2l: Contrastive continual learning". In: Proceedings of the IEEE/CVF International conference on computer vision. 2021, pp. 9516-9525.
[13] Diane T Feldman and William C Gordon. "The alleviation of short-term retention decrements with reactivation". In: Learning and Motivation 10.2 (1979), pp. 198-210.
[14] Jonathan Frankle and Michael Carbin. "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks". In: International Conference on Learning Representations. 2018.
[15] Gabrielle Girardeau et al. "Selective suppression of hippocampal ripples impairs spatial memory". In: Nature neuroscience 12.10 (2009), pp. 1222-1223.
[16] Siavash Golkar, Micheal Kagan, and Kyunghyun Cho. "Continual Learning via Neural Pruning". In: Real Neurons & Hidden Units: Future directions at the intersection of neuroscience and artificial intelligence @ NeurIPS 2019. 2019.
[17] Anirudh Goyal and Yoshua Bengio. "Inductive biases for deep learning of higher-level cognition". In: Proceedings of the Royal Society A 478.2266 (2022), p. 20210068.
[18] Mustafa B Gurbuz and Constantine Dovrolis. “NISPA: Neuro-Inspired Stability-Plasticity Adaptation for Continual Learning in Sparse Networks”. In: International Conference on Machine Learning. PMLR. 2022, pp. 8157–8174.
[19] Oliver Hardt, Karim Nader, and Lynn Nadel. "Decay happens: the role of active forgetting in memory". In: Trends in cognitive sciences 17.3 (2013), pp. 111-120.
[20] Demis Hassabis et al. “Meta-learning and the neuroscience of learning and memory”. In: Nature Reviews Neuroscience 18.5 (2017), Meta-Learning and the Neuroscience of Learning and Memory.
[21] Kaiming He et al. "Deep residual learning for image recognition". In: Proceedings of the IEEE conference on computer vision and pattern recognition. 2016, pp. 770-778.
[22] Saihui Hou et al. "Learning a unified classifier incrementally via rebalancing". In: Proceedings of the IEEE/CVF conference on Computer Vision and Pattern Recognition. 2019, pp. 831-839.
[23] Steven CY Hung et al. "Increasingly packing multiple facial-informatics modules in a unified deep-learning model via lifelong learning". In: Proceedings of the 2019 on International Conference on Multimedia Retrieval. 2019, pp. 339-343.
[24] Diederik P Kingma and Jimmy Ba. "Adam: A method for stochastic optimization". In: arXiv preprint arXiv:1412.6980 (2014).
[25] James Kirkpatrick et al. “Overcoming catastrophic forgetting in neural networks”. In: Proceedings of the national academy of sciences 114.13 (2017), pp. 3521–3526.
[26] Dhireesha Kudithipudi et al. "Biological underpinnings for lifelong learning machines". In: Nature Machine Intelligence 4.3 (2022), pp. 196-210.
[27] Jesse J Langille and Richard E Brown. "The synaptic theory of memory: a historical survey and reconciliation of recent opposition". In: Frontiers in systems neuroscience 12 (2018), p. 52.