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Although the concept of catastrophic forgetting is straightforward, there is a lack of study on its causes.
Visualizing data using t-sne
Laurens van der Maaten and Geoffrey Hinton · 2008
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An empirical investigation of catastrophic forgetting in gradient-based neural networks
Ian J Goodfellow, Mehdi Mirza, Da Xiao, Aaron Courville, and Yoshua Bengio · 2013
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Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy · 2014
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Colorful image colorization
Richard Zhang, Phillip Isola, and Alexei A Efros · 2016
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Overcoming catastrophic forgetting in neural networks
James Kirkpatrick, Razvan Pascanu, Neil Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, et al · 2017
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icarl: Incremental classifier and representation learning
Sylvestre-Alvise Rebuffi, Alexander Kolesnikov, Georg Sperl, and Christoph H Lampert · 2017
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End-to-end incremental learning
Francisco M Castro, Manuel J Marín-Jiménez, Nicolás Guil, Cordelia Schmid, and Karteek Alahari · 2018
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Exemplar-supported generative reproduction for class incremental learning
Chen He, Ruiping Wang, Shiguang Shan, and Xilin Chen · 2018
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Lifelong learning via progressive distillation and retrospection
Saihui Hou, Xinyu Pan, Chen Change Loy, Zilei Wang, and Dahua Lin · 2018
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Aaron van den Oord, Yazhe Li, and Oriol Vinyals · 2018
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Unsupervised feature learning via non-parametric instance discrimination
Zhirong Wu, Yuanjun Xiong, Stella X Yu, and Dahua Lin · 2018
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Saihui Hou, Xinyu Pan, Chen Change Loy, Zilei Wang, and Dahua Lin · 2019
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Regularization shortcomings for continual learning
Timothée Lesort, Andrei Stoian, and David Filliat · 2019
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Momentum contrast for unsupervised visual representation learning
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, and Ross Girshick · 2020
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Supervised contrastive learning
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Mnemonics training: Multi-class incremental learning without forgetting
Yaoyao Liu, Yuting Su, An-An Liu, Bernt Schiele, and Qianru Sun · 2020
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Pseudo-rehearsal for continual learning with normalizing flows
Jary Pomponi, Simone Scardapane, and Aurelio Uncini · 2020
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Large scale incremental learning
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Understanding regularisation methods for continual learning
Frederik Benzing · 2020
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A simple framework for contrastive learning of visual representations
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Incremental learning in online scenario
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Semantic drift compensation for class-incremental learning
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Class-incremental learning via deep model consolidation
Junting Zhang, Jie Zhang, Shalini Ghosh, Dawei Li, Serafettin Tasci, Larry Heck, Heming Zhang, and C-C Jay Kuo · 2020
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Maintaining discrimination and fairness in class incremental learning
Bowen Zhao, Xi Xiao, Guojun Gan, Bin Zhang, and Shu-Tao Xia · 2020
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Memory efficient class-incremental learning for image classification
Hanbin Zhao, Hui Wang, Yongjian Fu, Fei Wu, and Xi Li · 2020
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Distilling causal effect of data in class-incremental learning
Xinting Hu, Kaihua Tang, Chunyan Miao, Xian-Sheng Hua, and Hanwang Zhang · 2021
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Essentials for class incremental learning
Sudhanshu Mittal, Silvio Galesso, and Thomas Brox · 2021
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Memory efficient class-incremental learning for image classification
Hanbin Zhao, Hui Wang, Yongjian Fu, Fei Wu, and Xi Li · 2021
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