Fetching the paper…
Reading the bibliography…
Deep neural networks (DNNs) are powerful tools in learning sophisticated but fixed mapping rules between inputs and outputs, thereby limiting their application in more complex and dynamic situations in which the mapping rules are not kept the same but changing according to different contexts.
The intelligibility of speech as a function of the context of the test materials
Miller, G. A., Heise, G. A. & Lichten, W · 1951
Earlier work this paper cites.
Catastrophic interference in connectionist networks: The sequential learning problem , vol. 24, 109–165 (Elsevier, 1989)
McCloskey, M. & Cohen, N. J · 1989
Earlier work this paper cites.
Training feed-forward networks with the extended kalman algorithm
Singhal, S. & Wu, L · 1989
Earlier work this paper cites.
Connectionist models of recognition memory - constraints imposed by learning and forgetting functions
Ratcliff, R · 1990
Earlier work this paper cites.
Optimal filtering algorithms for fast learning in feedforward neural networks
Shah, S., Palmieri, F. & Datum, M · 1992
Earlier work this paper cites.
The frontal lobes and voluntary action. oxford psychology series (1993)
Passingham, R · 1993
Earlier work this paper cites.
Unified theories of cognition (Harvard University Press, 1994)
Newell, A · 1994
Earlier work this paper cites.
Neural mechanisms of selective visual-attention
Desimone, R. & Duncan, J · 1995
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. & Oreilly, R. C · 1995
Earlier work this paper cites.
The frontal cortex basal ganglia system in primates
Wise, S. P., Murray, E. A. & Gerfen, C. R · 1996
Earlier work this paper cites.
The prefrontal cortex: Complex neural properties for complex behavior
Miller, E. K · 1999
Earlier work this paper cites.
The prefontral cortex and cognitive control 1
Miller, E. K. J. N. r. n · 2000
Earlier work this paper cites.
An integrative theory of prefrontal cortex function
Miller, E. K. & Cohen, J. D · 2001
Earlier work this paper cites.
Categorical representation of visual stimuli in the primate prefrontal cortex
Freedman, D. J., Riesenhuber, M., Poggio, T. & Miller, E. K · 2001
Earlier work this paper cites.
Fast readout of object identity from macaque inferior temporal cortex
Hung, C. P., Kreiman, G., Poggio, T. & DiCarlo, J. J · 2005
Earlier work this paper cites.
Word learning as bayesian inference
Xu, F. & Tenenbaum, J. B · 2007
Earlier work this paper cites.
Adaptive filter theory (Pearson Education India, 2008)
Haykin, S. S · 2008
Earlier work this paper cites.
Generating coherent patterns of activity from chaotic neural networks
Sussillo, D. & Abbott, L. F · 2009
Earlier work this paper cites.
Rectified linear units improve restricted boltzmann machines
Nair, V. & Hinton, G. E · 2010
Earlier work this paper cites.
Chinese handwriting recognition contest 2010
Liu, C.-L., Yin, F., Wang, D.-H. & Wang, Q.-F · 2010
Cited alongside, same era.
Software framework for topic modelling with large corpora
Řehůřek, R. & Sojka, P · 2010
Cited alongside, same era.
What helps where -and why? semantic relatedness for knowledge transfer (2010)
Rohrbach, M., Stark, M., Szarvas, G., Gurevych, I. & Schiele, B · 2010
Cited alongside, same era.
Understanding the difficulty of training deep feedforward neural networks
Glorot, X. & Bengio, Y · 2010
Cited alongside, same era.
Rectified linear units improve restricted boltzmann machines
Nair, V. & Hinton, G. E · 2010
Cited alongside, same era.
Matrix computations , vol. 3 (JHU Press, 2012)
Golub, G. H. & Van Loan, C. F · 2012
Cited alongside, same era.
Branch-specific dendritic ca2+ spikes cause persistent synaptic plasticity
Cichon, J. & Gan, W.-B · 2015
Later among the works it cites.
Distilling the knowledge in a neural network (2015)
Hinton, G., Vinyals, O. & Dean, J. J. a. p. a · 2015
Later among the works it cites.
Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
He, K., Zhang, X., Ren, S. & Sun, J · 2015
Later among the works it cites.
Progressive neural networks (2016)
Rusu, A. A. et al · 2016
Later among the works it cites.
What learning systems do intelligent agents need? complementary learning systems theory updated 20
Kumaran, D., Hassabis, D. & McClelland, J. L. J. T. i. c. s · 2016
Later among the works it cites.
Deep Residual Learning for Image Recognition , 770–778
He, K. M., Zhang, X. Y., Ren, S. Q., Sun, J. & Ieee · 2016
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Context-dependent computation by recurrent dynamics in prefrontal cortex
Mante, V., Sussillo, D., Shenoy, K. V. & Newsome, W. T · 2013
Cited alongside, same era.
An empirical investigation of catastrophic forgetting in gradient-based neural networks
Goodfellow, I. J., Mirza, M., Xiao, D., Courville, A. & Bengio, Y · 2013
Cited alongside, same era.
Icdar 2013 chinese handwriting recognition competition
Yin, F., Wang, Q.-F., Zhang, X.-Y. & Liu, C.-L · 2013
Cited alongside, same era.
The ventral visual pathway: an expanded neural framework for the processing of object quality
Kravitz, D. J., Saleem, K. S., Baker, C. I., Ungerleider, L. G. & Mishkin, M · 2013
Cited alongside, same era.
The importance of mixed selectivity in complex cognitive tasks
Rigotti, M. et al · 2013
Cited alongside, same era.
Compete to compute
Srivastava, R. K., Masci, J., Kazerounian, S., Gomez, F. & Schmidhuber, J · 2013
Cited alongside, same era.
Later among the works it cites.
The role of prefrontal mixed selectivity in cognitive control
Ramirez-Cardenas, A. & Viswanathan, P · 2016
Later among the works it cites.
Overcoming catastrophic forgetting in neural networks
Kirkpatricka, J. et al · 2017
Later among the works it cites.
Overcoming catastrophic forgetting by incremental moment matching
Lee, S.-W., Kim, J.-H., Jun, J., Ha, J.-W. & Zhang, B.-T · 2017
Later among the works it cites.
Continual learning through synaptic intelligence (2017)
Zenke, F., Poole, B. & Ganguli, S. J. a. p. a · 2017
Later among the works it cites.
Microstructural proliferation in human cortex is coupled with the development of face processing
Gomez, J. et al · 2017
Later among the works it cites.
Continual learning with deep generative replay
Shin, H., Lee, J. K., Kim, J. & Kim, J · 2017
Later among the works it cites.
Learning without forgetting
Li, Z. & Hoiem, D · 2017
Later among the works it cites.
Continual lifelong learning with neural networks: A review (2018)
Parisi, G. I., Kemker, R., Part, J. L., Kanan, C. & Wermter, S. J. a. p. a · 2018
Closest in time.
Overcoming catastrophic interference using conceptor-aided backpropagation
He, X. & Jaeger, H · 2018
Closest in time.
Alleviating catastrophic forgetting using context-dependent gating and synaptic stabilization
Masse, N. Y., Grant, G. D. & Freedman, D. J · 2018
Closest in time.
Progress & compress: A scalable framework for continual learning
Schwarz, J. et al · 2018
Closest in time.
Overcoming catastrophic forgetting via model adaptation
Hu, W. et al · 2019
Closest in time.