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Class incremental learning refers to a special multi-class classification task, in which the number of classes is not fixed but is increasing with the continual arrival of new data.
Stochastic estimation of the maximum of a regression function
J Kiefer and J Wolfowitz · 1952
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A note on a method for generating points uniformly on n-dimensional spheres
Mervin E Muller · 1959
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Catastrophic interference in connectionist networks: The sequential learning problem
Michael McCloskey and Neal J Cohen · 1989
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Catastrophic forgetting and the pseudorehearsal solution in hopfield-type networks
Anthony Robins and SIMON McCALLUM · 1998
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Zhi-Hua Zhou and Zhao-Qian Chen · 2002
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Learning multiple layers of features from tiny images
Alex Krizhevsky and Geoffrey Hinton · 2009
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Probability and statistics
Morris H DeGroot and Mark J Schervish · 2012
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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Error-driven incremental learning in deep convolutional neural network for large-scale image classification
Tianjun Xiao, Jiaxing Zhang, Kuiyuan Yang, Yuxin Peng, and Zheng Zhang · 2014
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Tiny imagenet classification with convolutional neural networks
Leon Yao and John Miller · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Cited alongside, same era.
A discriminative feature learning approach for deep face recognition
Yandong Wen, Kaipeng Zhang, Zhifeng Li, and Yu Qiao · 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
Learning without forgetting
Zhizhong Li and Derek Hoiem · 2017
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Continual learning with deep generative replay
Hanul Shin, Jung Kwon Lee, Jaehong Kim, and Jiwon Kim · 2017
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Distribution of scalar products of two random unit vectors in d d dimensions
whuber (https://stats.stackexchange.com/users/919/whuber) · 2017
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Continual learning through synaptic intelligence
Friedemann Zenke, Ben Poole, and Surya Ganguli · 2017
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End-to-end incremental learning
Francisco M Castro, Manuel J Marinjimenez, Nicolas Guil, Cordelia Schmid, and Karteek Alahari · 2018
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Generative replay with feedback connections as a general strategy for continual learning
Gido M van de Ven and Andreas S Tolias · 2018
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Cited alongside, same era.
Later among the works it cites.