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Continual learning aims to learn tasks sequentially, with (often severe) constraints on the storage of old learning samples, without suffering from catastrophic forgetting.
Catastrophic forgetting, rehearsal and pseudorehearsal
Anthony Robins · 1995
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Catastrophic forgetting in connectionist networks
Robert French · 1999
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Neighbourhood components analysis
Jacob Goldberger, Geoffrey E Hinton, Sam T. Roweis, and Ruslan R Salakhutdinov · 2005
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A kernel method for the two-sample-problem
A. Gretton, K. M. Borgwardt, M. Rasch, B. Schölkopf, and A. J. Smola · 2007
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Visualizing high-dimensional data using t-sne
L.J.P. van der Maaten and G.E. Hinton · 2008
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Describing objects by their attributes
A. Farhadi, I. Endres, D. Hoiem, and D.A. Forsyth · 2009
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Learning to detect unseen object classes by between-class attribute transfer
C. H. Lampert, H. Nickisch, and S. Hermeling · 2009
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Mnist handwritten digit database
Yann LeCun, Corinna Cortes, and CJ Burges · 2010
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Online incremental attribute-base zero-shot learning
Pichai Kankuekul, Aram Kawewong, Sirinart Tangruamsub, and Osamu Hasegawa · 2012
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Efficient estimation of word representations in vector space
Tomas Mikolov, Kai Chen, Greg S. Corrado, and Jeffrey Dean · 2013
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Toward open set recognition
W. J. Scheirer, A. Rocha, A. Sapkota, and T. E. Boult · 2013
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D. Manning · 2014
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Support-vector networks
Corinna Cortes and Vladimir Vapnik · 2015
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Generative moment matching networks
Yujia Li, Kevin Swersky, and Richard Zemel · 2015
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An empirical study and analysis of generalized zero- shot learning for object recognition in the wild
Wei-Lun Chao, Soravit Changpinyo, Boqing Gong, and Fei Sha · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Learning without forgetting
Z. Li and D. Hoiem · 2016
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Generating visual representations for zero-shot classification
Maxime Bucher, Stephane Herbin, and Frederic Jurie · 2017
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PathNet: Evolution Channels Gradient Descent in Super Neural Networks
Chrisantha Fernando, Dylan Banarse, Charles Blundell, Yori Zwols, David Ha, Andrei A. Rusu, Alexander Pritzel, and Daan Wierstra · 2017
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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, Demis Hassabis, Claudia Clopath, Dharshan Kumaran, and Raia Hadsell · 2017
Fearnet: Brain-inspired model for incremental learning
Ronald Kemker and Christopher Kanan · 2018
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Generalized zero-shot learning via synthesized examples
Vinay Kumar Verma, Gundeep Arora, Ashish Mishra, and Piyush Rai · 2018
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Cosine normalization: Using cosine similarity instead of dot product in neural networks
Chunjie Luo, Jianfeng Zhan, Xiaohe Xue, Lei Wang, Rui Ren, and Qiang Yang · 2018
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Feature generating networks for zero-shot learning
Yongqin Xian, Tobias Lorenz, Bernt Schiele, and Zeynep Akata · 2018
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Lifelong learning with dynamically expandable networks
Jaehong Yoon, Eunho Yang, Jeongtae Lee, and Sung Ju Hwang · 2018
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Selfless sequential learning
Rahaf Aljundi and Tinne Tuytelaars · 2019
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Gradient episodic memory for continual learning
David Lopez-Paz and Marc’Aurelio Ranzato · 2017
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No fuss distance metric learning using proxies
Yair Movshovitz-Attias, Alexander Toshev, Thomas K. Leung, Sergey Ioffe, and Saurabh Singh · 2017
Cited alongside, same era.
icarl: Incremental classifier and representation learning
Sylvestre-Alvise Rebuffi, Alexander Kolesnikov, Georg Sperl, and Christoph H. Lampert · 2017
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Continual learning with deep generative replay
Hanul Shin, Jung Kwon Lee, Jaehong Kim, and Jiwon Kim · 2017
Cited alongside, same era.
Incremental zero-shot learning based on attributes for image classification
Nan Xue, Yi Wang, Xin Fan, and Maomao Min1 · 2017
Cited alongside, same era.
Memory aware synapses: Learning what (not) to forget
Rahaf Aljundi, Francesca Babiloni, Mohamed Elhoseiny, Marcus Rohrbach, and Tinne Tuytelaars · 2018
Cited alongside, same era.
Continual learning via neural pruning
Siavash Golkar, Michael Kagan, and Kyunghyun Cho · 2019
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Learning a unified classifier incrementally via rebalancing
Saihui Hou, Xinyu Pan, Chen Change Loy, Zilei Wang, and Dahua Lin · 2019
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Compacting, picking and growing for unforgetting continual learning
Steven C.Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen · 2019
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Learn to grow: A continual structure learning framework for overcoming catastrophic forgetting
Xilai Li, Yingbo Zhou, Tianfu Wu, Richard Socher, and Caiming Xiong · 2019
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Zero-shot learning—a comprehensive evaluation of the good, the bad and the ugly
Y. Xian, C. H. Lampert, B. Schiele, and Z. Akata · 2019
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Small-task incremental learning
Arthur Douillard, Matthieu Cord, Charles Ollion, Thomas Robert, and Eduardo Valle · 2020
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Automatically discovering and learning new visual categories with ranking statistics
Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Ehrhardt, Andrea Vedaldi, and Andrew Zisserman · 2020
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