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Artificial neural networks suffer from catastrophic forgetting when they are sequentially trained on multiple tasks.
Catastrophic interference in connectionist networks: The sequential learning problem
M. McCloskey and N. J. Cohen · 1989
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2015
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Tiny imagenet visual recognition challenge
Y. Le and X. Yang · 2015
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D. Ha, A. Dai, and Q. V. Le · 2016
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Progressive neural networks
A. A. Rusu, N. C. Rabinowitz, G. Desjardins, H. Soyer, J. Kirkpatrick, K. Kavukcuoglu, R. Pascanu, and R. Hadsell · 2016
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Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick, R. Pascanu, N. Rabinowitz, J. Veness, G. Desjardins, A. A. Rusu, K. Milan, J. Quan, T. Ramalho, A. Grabska-Barwinska, et al · 2017
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Learning without forgetting
Z. Li and D. Hoiem · 2017
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The lottery ticket hypothesis: Finding sparse, trainable neural networks
J. Frankle and M. Carbin · 2018
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Re-evaluating continual learning scenarios: A categorization and case for strong baselines
Y.-C. Hsu, Y.-C. Liu, A. Ramasamy, and Z. Kira · 2018
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Packnet: Adding multiple tasks to a single network by iterative pruning
A. Mallya and S. Lazebnik · 2018
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Piggyback: Adapting a single network to multiple tasks by learning to mask weights
A. Mallya, D. Davis, and S. Lazebnik · 2018
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Overcoming catastrophic forgetting with hard attention to the task
J. Serra, D. Suris, M. Miron, and A. Karatzoglou · 2018
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Reinforced continual learning
J. Xu and Z. Zhu · 2018
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Continual learning via neural pruning
S. Golkar, M. Kagan, and K. Cho · 2019
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Learn to grow: A continual structure learning framework for overcoming catastrophic forgetting
X. Li, Y. Zhou, T. Wu, R. Socher, and C. Xiong · 2019
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Continual lifelong learning with neural networks: A review
G. I. Parisi, R. Kemker, J. L. Part, C. Kanan, and S. Wermter · 2019
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Continual learning with hypernetworks
J. von Oswald, C. Henning, B. F. Grewe, and J. Sacramento · 2019
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Long live the lottery: The existence of winning tickets in lifelong learning
T. Chen, Z. Zhang, S. Liu, S. Chang, and Z. Wang · 2020
Flattening sharpness for dynamic gradient projection memory benefits continual learning
D. Deng, G. Chen, J. Hao, Q. Wang, and P.-A. Heng · 2021
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Posterior meta-replay for continual learning
C. Henning, M. Cervera, F. D’Angelo, J. Von Oswald, R. Traber, B. Ehret, S. Kobayashi, B. F. Grewe, and J. Sacramento · 2021
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Bayesian structural adaptation for continual learning
A. Kumar, S. Chatterjee, and P. Rai · 2021
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Bns: Building network structures dynamically for continual learning
Q. Qin, W. Hu, H. Peng, D. Zhao, and B. Liu · 2021
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Forget-free continual learning with winning subnetworks
H. Kang, R. J. L. Mina, S. R. H. Madjid, J. Yoon, M. Hasegawa-Johnson, S. J. Hwang, and C. D. Yoo · 2022
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Fecam: Exploiting the heterogeneity of class distributions in exemplar-free continual learning
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La-maml: Look-ahead meta learning for continual learning
G. Gupta, K. Yadav, and L. Paull · 2020
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Gradient projection memory for continual learning
G. Saha, I. Garg, and K. Roy · 2020
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Hypernetwork approach to generating point clouds
P. Spurek, S. Winczowski, J. Tabor, M. Zamorski, M. Zieba, and T. Trzciński · 2020
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Supermasks in superposition
M. Wortsman, V. Ramanujan, R. Liu, A. Kembhavi, M. Rastegari, J. Yosinski, and A. Farhadi · 2020
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Scalable and order-robust continual learning with additive parameter decomposition
J. Yoon, S. Kim, E. Yang, and S. J. Hwang · 2020
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A continual learning survey: Defying forgetting in classification tasks
M. De Lange, R. Aljundi, M. Masana, S. Parisot, X. Jia, A. Leonardis, G. Slabaugh, and T. Tuytelaars · 2021
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D. Goswami, Y. Liu, B. Twardowski, and J. van de Weijer · 2023
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On the soft-subnetwork for few-shot class incremental learning
H. Kang, J. Yoon, S. R. H. Madjid, S. J. Hwang, and C. D. Yoo · 2023
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Fetril: Feature translation for exemplar-free class-incremental learning
G. Petit, A. Popescu, H. Schindler, D. Picard, and B. Delezoide · 2023
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Hypershot: Few-shot learning by kernel hypernetworks
M. Sendera, M. Przewięźlikowski, K. Karanowski, M. Zięba, J. Tabor, and P. Spurek · 2023
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Hypernetworks build implicit neural representations of sounds
F. Szatkowski, K. J. Piczak, P. Spurek, J. Tabor, and T. Trzciński · 2023
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A comprehensive survey of continual learning: Theory, method and application
L. Wang, X. Zhang, H. Su, and J. Zhu · 2023
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Enhancing knowledge transfer for task incremental learning with data-free subnetwork
Q. Gao, X. Shan, Y. Zhang, and F. Zhou · 2024
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