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Despite advances in deep learning, neural networks can only learn multiple tasks when trained on them jointly.
Catastrophic interference in connectionist networks: The sequential learning problem
McCloskey, Michael and Cohen, Neal J · 1989
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Episodic memory in connectionist networks
Kortge, Chris A · 1990
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Gradual unlearning and catastrophic interference: A comparison of distributed architectures
Lewandowsky, Stephan · 1991
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Catastrophic interference is eliminated in pretrained networks
McRae, Ken and Hetherington, Phil A · 1993
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Dynamically constraining connectionist networks to produce distributed, orthogonal representations to reduce catastrophic interference
French, Robert M · 1994
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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, James L, McNaughton, Bruce L, and O’reilly, Randall C · 1995
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Catastrophic forgetting in connectionist networks
French, Robert M · 1999
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Sequential learning in neural networks: A review and a discussion of pseudorehearsal based methods
Robins, Anthony · 2004
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Spacing and lag effects in free recall of pure lists
Kahana, Michael J and Howard, Marc W · 2005
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Distributed practice in verbal recall tasks: A review and quantitative synthesis
Cepeda, Nicholas J, Pashler, Harold, Vul, Edward, Wixted, John T, and Rohrer, Doug · 2006
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Visualizing data using t-sne
Maaten, Laurens van der and Hinton, Geoffrey · 2008
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Play it again: reactivation of waking experience and memory
O’Neill, Joseph, Pleydell-Bouverie, Barty, Dupret, David, and Csicsvari, Jozsef · 2010
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Neural networks for machine learning - lecture 6a - overview of mini-batch gradient descent, 2012
Hinton, Geoffrey · 2012
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An empirical investigation of catastrophic forgetting in gradient-based neural networks
Goodfellow, Ian J, Mirza, Mehdi, Xiao, Da, Courville, Aaron, and Bengio, Yoshua · 2013
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Compete to compute
Srivastava, Rupesh K, Masci, Jonathan, Kazerounian, Sohrob, Gomez, Faustino, and Schmidhuber, Jürgen · 2013
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Auto-encoding variational bayes
Kingma, D. P. and Welling, M · 2014
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Rusu, Andrei A, Colmenarejo, Sergio Gomez, Gulcehre, Caglar, Desjardins, Guillaume, Kirkpatrick, James, Pascanu, Razvan, Mnih, Volodymyr, Kavukcuoglu, Koray, and Hadsell, Raia · 2015
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Pathnet: Evolution channels gradient descent in super neural networks
Fernando, Chrisantha, Banarse, Dylan, Blundell, Charles, Zwols, Yori, Ha, David, Rusu, Andrei A, Pritzel, Alexander, and Wierstra, Daan · 2017
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The quick, draw! dataset
Google · 2017
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Devanagari character set
Kaggle · 2017
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Learning without forgetting
Li, Zhizhong and Hoiem, Derek · 2017
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Gradient episodic memory for continual learning
Lopez-Paz, David et al · 2017
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Kumaran, Dharshan, Hassabis, Demis, and McClelland, James L · 2016
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Adversarial feature learning
Donahue, Jeff, Krähenbühl, Philipp, and Darrell, Trevor · 2017
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Adversarially learned inference
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The jellyfish cassiopea exhibits a sleep-like state
Nath, Ravi D, Bedbrook, Claire N, Abrams, Michael J, Basinger, Ty, Bois, Justin S, Prober, David A, Sternberg, Paul W, Gradinaru, Viviana, and Goentoro, Lea · 2017
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