Fetching the paper…
Reading the bibliography…
Attempts to train a comprehensive artificial intelligence capable of solving multiple tasks have been impeded by a chronic problem called catastrophic forgetting.
Using fast weights to deblur old memories
G. E. Hinton and D. C. Plaut · 1987
Earlier work this paper cites.
Catastrophic interference in connectionist networks: The sequential learning problem
M. McCloskey and N. J. Cohen · 1989
Earlier work this paper cites.
Connectionist models of recognition memory: Constraints imposed by learning and forgetting functions
R. Ratcliff · 1990
Earlier work this paper cites.
Infants’ ability to draw inferences about nonobvious object properties: Evidence from exploratory play
D. A. Baldwin, E. M. Markman, and R. L. Melartin · 1993
Earlier work this paper cites.
Catastrophic forgetting in neural networks: the role of rehearsal mechanisms
A. Robins · 1993
Earlier work this paper cites.
Catastrophic forgetting, rehearsal and pseudorehearsal
A. Robins · 1995
Earlier work this paper cites.
Avoiding catastrophic forgetting by coupling two reverberating neural networks
B. Ans and S. Rousset · 1997
Earlier work this paper cites.
Gradient-based learning applied to document recognition
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner · 1998
Earlier work this paper cites.
Catastrophic forgetting in connectionist networks
R. M. French · 1999
Earlier work this paper cites.
Ensemble methods in machine learning
T. G. Dietterich · 2000
Earlier work this paper cites.
Long-term dendritic spine stability in the adult cortex
J. Grutzendler, N. Kasthuri, and W.-B. Gan · 2002
Earlier work this paper cites.
Hippocampal and neocortical contributions to memory: Advances in the complementary learning systems framework
R. C. O’Reilly and K. A. Norman · 2002
Earlier work this paper cites.
Memory retention–the synaptic stability versus plasticity dilemma
W. C. Abraham and A. Robins · 2005
Cited alongside, same era.
Evidence for large long-term memory capacities in baboons and pigeons and its implications for learning and the evolution of cognition
J. Fagot and R. G. Cook · 2006
Cited alongside, same era.
Sleep-dependent memory consolidation and reconsolidation
R. Stickgold and M. P. Walker · 2007
Cited alongside, same era.
Internally generated reactivation of single neurons in human hippocampus during free recall
H. Gelbard-Sagiv, R. Mukamel, M. Harel, R. Malach, and I. Fried · 2008
Cited alongside, same era.
Deep boltzmann machines
R. Salakhutdinov and G. Hinton · 2009
Cited alongside, same era.
The development of object categorization in young children: Hierarchical inclusiveness, age, perceptual attribute, and group versus individual analyses
Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
Later among the works it cites.
Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
Later among the works it cites.
A biologically inspired dual-network memory model for reduction of catastrophic forgetting
M. Hattori · 2014
Later among the works it cites.
Dropout: a simple way to prevent neural networks from overfitting
N. Srivastava, G. E. Hinton, A. Krizhevsky, I. Sutskever, and R. Salakhutdinov · 2014
Later among the works it cites.
Human-level control through deep reinforcement learning
V. Mnih, K. Kavukcuoglu, D. Silver, A. A. Rusu, J. Veness, M. G. Bellemare, A. Graves, M. Riedmiller, A. K. Fidjeland, G. Ostrovski, et al · 2015
Later among the works it cites.
Learning without forgetting
Z. Li and D. Hoiem · 2016
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
M. H. Bornstein and M. E. Arterberry · 2010
Cited alongside, same era.
Play it again: reactivation of waking experience and memory
J. O’Neill, B. Pleydell-Bouverie, D. Dupret, and J. Csicsvari · 2010
Cited alongside, same era.
Reading digits in natural images with unsupervised feature learning
Y. Netzer, T. Wang, A. Coates, A. Bissacco, B. Wu, and A. Y. Ng · 2011
Cited alongside, same era.
An empirical investigation of catastrophic forgetting in gradient-based neural networks
I. J. Goodfellow, M. Mirza, D. Xiao, A. Courville, and Y. Bengio · 2013
Cited alongside, same era.
Auto-encoding variational bayes
D. P. Kingma and M. Welling · 2013
Cited alongside, same era.
Creating a false memory in the hippocampus
S. Ramirez, X. Liu, P.-A. Lin, J. Suh, M. Pignatelli, R. L. Redondo, T. J. Ryan, and S. Tonegawa · 2013
Cited alongside, same era.
Compete to compute
R. K. Srivastava, J. Masci, S. Kazerounian, F. Gomez, and J. Schmidhuber · 2013
Cited alongside, same era.
Later among the works it cites.
Online contrastive divergence with generative replay: Experience replay without storing data
D. C. Mocanu, M. T. Vega, E. Eaton, P. Stone, and A. Liotta · 2016
Later among the works it cites.
NIPS 2016 tutorial: Generative adversarial networks
I. J. Goodfellow · 2017
Closest in time.
Improved training of wasserstein gans
I. Gulrajani, F. Ahmed, M. Arjovsky, V. Dumoulin, and A. Courville · 2017
Closest in time.
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick, R. Pascanu, N. Rabinowitz, J. Veness, G. Desjardins, A. A. Rusu, K. Milan, J. Quan, T. Ramalho, A. Grabska-Barwinska, et al · 2017
Closest in time.
Overcoming catastrophic forgetting by incremental moment matching
S.-W. Lee, J.-H. Kim, J.-W. Ha, and B.-T. Zhang · 2017
Closest in time.