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Catastrophic forgetting refers to the tendency that a neural network "forgets" the previous learned knowledge upon learning new tasks.
Catastrophic interference in connectionist networks: The sequential learning problem
McCloskey, M.; and Cohen, N. J. 1989 · 1989
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Connectionist models of recognition memory: constraints imposed by learning and forgetting functions
Ratcliff, R. 1990 · 1990
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Dynamically constraining connectionist networks to produce distributed, orthogonal representations to reduce catastrophic interference
French, R. M. 1994 · 1994
Earlier work this paper cites.
Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory
McClelland, J. L.; McNaughton, B. L.; and O’Reilly, R. C. 1995 · 1995
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Catastrophic forgetting, rehearsal and pseudorehearsal
Robins, A. 1995 · 1995
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Multitask learning
Caruana, R. 1997 · 1997
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Catastrophic forgetting in connectionist networks
French, R. M. 1999 · 1999
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Finding and evaluating community structure in networks
Newman, M. E.; and Girvan, M. 2004 · 2004
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icarl: Incremental classifier and representation learning
Rebuffi, S.-A.; Kolesnikov, A.; Sperl, G.; and Lampert, C. H. 2017 · 2010
Earlier work this paper cites.
Using graph theory to analyze biological networks
Pavlopoulos, G. A.; Secrier, M.; Moschopoulos, C. N.; Soldatos, T. G.; Kossida, S.; Aerts, J.; Schneider, R.; and Bagos, P. G. 2011 · 2011
Earlier work this paper cites.
Predicting multicellular function through multi-layer tissue networks
Zitnik, M.; and Leskovec, J. 2017 · 2012
Earlier work this paper cites.
Spectral networks and locally connected networks on graphs
Bruna, J.; Zaremba, W.; Szlam, A.; and LeCun, Y. 2013 · 2013
Earlier work this paper cites.
Rich feature hierarchies for accurate object detection and semantic segmentation
Girshick, R.; Donahue, J.; Darrell, T.; and Malik, J. 2014 · 2014
Earlier work this paper cites.
Profiling of the Tox21 10K compound library for agonists and antagonists of the estrogen receptor alpha signaling pathway
Huang, R.; Sakamuru, S.; Martin, M. T.; Reif, D. M.; Judson, R. S.; Houck, K. A.; Casey, W.; Hsieh, J.-H.; Shockley, K. R.; Ceger, P.; et al. 2014 · 2014
Earlier work this paper cites.
Tracking Interacting Objects Optimally Using Integer Programming
Wang, X.; Türetken, E.; Fleuret, F.; and Fua, P. 2014 · 2014
Earlier work this paper cites.
Net2net: Accelerating learning via knowledge transfer
Chen, T.; Goodfellow, I.; and Shlens, J. 2015 · 2015
Cited alongside, same era.
Image-based recommendations on styles and substitutes
McAuley, J.; Targett, C.; Shi, Q.; and Van Den Hengel, A. 2015 · 2015
Cited alongside, same era.
Convolutional neural networks on graphs with fast localized spectral filtering
Defferrard, M.; Bresson, X.; and Vandergheynst, P. 2016 · 2016
Cited alongside, same era.
Semi-supervised classification with graph convolutional networks
Kipf, T. N.; and Welling, M. 2016 · 2016
Cited alongside, same era.
Rusu, A. A.; Rabinowitz, N. C.; Desjardins, G.; Soyer, H.; Kirkpatrick, J.; Kavukcuoglu, K.; Pascanu, R.; and Hadsell, R. 2016 · 2016
Cited alongside, same era.
Lifelong learning with dynamically expandable networks
Yoon, J.; Yang, E.; Lee, J.; and Hwang, S. J. 2017 · 2017
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Continual learning through synaptic intelligence
Zenke, F.; Poole, B.; and Ganguli, S. 2017 · 2017
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Memory aware synapses: Learning what (not) to forget
Aljundi, R.; Babiloni, F.; Elhoseiny, M.; Rohrbach, M.; and Tuytelaars, T. 2018 · 2018
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Efficient lifelong learning with a-gem
Chaudhry, A.; Ranzato, M.; Rohrbach, M.; and Elhoseiny, M. 2018 · 2018
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Packnet: Adding multiple tasks to a single network by iterative pruning
Mallya, A.; and Lazebnik, S. 2018 · 2018
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Bojchevski, A.; and Günnemann, S. 2017 · 2017
Cited alongside, same era.
Pathnet: Evolution channels gradient descent in super neural networks
Fernando, C.; Banarse, D.; Blundell, C.; Zwols, Y.; Ha, D.; Rusu, A. A.; Pritzel, A.; and Wierstra, D. 2017 · 2017
Cited alongside, same era.
Inductive representation learning on large graphs
Hamilton, W.; Ying, Z.; and Leskovec, J. 2017 · 2017
Cited alongside, same era.
Overcoming catastrophic forgetting in neural networks
Kirkpatrick, J.; Pascanu, R.; Rabinowitz, N.; Veness, J.; Desjardins, G.; Rusu, A. A.; Milan, K.; Quan, J.; Ramalho, T.; Grabska-Barwinska, A.; et al. 2017 · 2017
Cited alongside, same era.
Overcoming catastrophic forgetting by incremental moment matching
Lee, S.-W.; Kim, J.-H.; Jun, J.; Ha, J.-W.; and Zhang, B.-T. 2017 · 2017
Cited alongside, same era.
Learning without forgetting
Li, Z.; and Hoiem, D. 2017 · 2017
Cited alongside, same era.
Gradient episodic memory for continual learning
Lopez-Paz, D.; and Ranzato, M. 2017 · 2017
Cited alongside, same era.
Schwarz, J.; Luketina, J.; Czarnecki, W. M.; Grabska-Barwinska, A.; Teh, Y. W.; Pascanu, R.; and Hadsell, R. 2018 · 2018
Later among the works it cites.
Overcoming catastrophic forgetting with hard attention to the task
Serrà, J.; Suris, D.; Miron, M.; and Karatzoglou, A. 2018 · 2018
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How powerful are graph neural networks?
Xu, K.; Hu, W.; Leskovec, J.; and Jegelka, S. 2018 · 2018
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Gradient based sample selection for online continual learning
Aljundi, R.; Lin, M.; Goujaud, B.; and Bengio, Y. 2019 · 2019
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Meta-learning representations for continual learning
Javed, K.; and White, M. 2019 · 2019
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Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference
Riemer, M.; Cases, I.; Ajemian, R.; Liu, M.; Rish, I.; Tu, Y.; and Tesauro, G. 2019 · 2019
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Amalgamating Knowledge towards Comprehensive Classification
Shen, C.; Wang, X.; Song, J.; Sun, L.; and Song, M. 2019 · 2019
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SPAGAN: Shortest Path Graph Attention Network
Yang, Y.; Wang, X.; Song, M.; Yuan, J.; and Tao, D. 2019 · 2019
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Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More
Ye, J.; Ji, Y.; Wang, X.; Ou, K.; Tao, D.; and Song, M. 2019 · 2019
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Hallucinating visual instances in total absentia
Qiu, J.; Yang, Y.; Wang, X.; and Tao, D. 2020 · 2020
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