Fetching the paper…
Reading the bibliography…
There has been a gap between artificial intelligence and human intelligence.
Integrative activity of the brain: An interdisciplinary approach, 1967
J Knorkski · 1967
Earlier work this paper cites.
Learning distributed representations of concepts
Geoffrey E Hinton · 1986
Earlier work this paper cites.
Information processing in dynamical systems: Foundations of harmony theory
Paul Smolensky · 1986
Earlier work this paper cites.
Modèles connexionnistes de l’apprentissage
L Yann · 1987
Earlier work this paper cites.
Auto-association by multilayer perceptrons and singular value decomposition
Hervé Bourlard and Yves Kamp · 1988
Earlier work this paper cites.
Autoencoders, minimum description length and helmholtz free energy
Geoffrey E Hinton and Richard S Zemel · 1994
Earlier work this paper cites.
Emergence of simple-cell receptive field properties by learning a sparse code for natural images
Bruno A Olshausen and David J Field · 1996
Earlier work this paper cites.
Em algorithms for pca and spca
Sam T Roweis · 1998
Earlier work this paper cites.
A theory of sentience
Austen Clark · 2000
Earlier work this paper cites.
Theoretical neuroscience , volume 806
Peter Dayan and Laurence F Abbott · 2001
Earlier work this paper cites.
Genealogy of the "grandmother cell"
Charles G Gross · 2002
Earlier work this paper cites.
Reducing the dimensionality of data with neural networks
Geoffrey E Hinton and Ruslan R Salakhutdinov · 2006
Cited alongside, same era.
Universal intelligence: A definition of machine intelligence
Shane Legg and Marcus Hutter · 2007
Cited alongside, same era.
Natural language processing (almost) from scratch
Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel Kuksa · 2011
Cited alongside, same era.
Unsupervised and transfer learning challenge: a deep learning approach
Grégoire Mesnil, Yann Dauphin, Xavier Glorot, Salah Rifai, Yoshua Bengio, Ian Goodfellow, Erick Lavoie, Xavier Muller, Guillaume Desjardins, David Warde-Farley, et al · 2011
Cited alongside, same era.
Deep learning of representations for unsupervised and transfer learning
Yoshua Bengio · 2012
Cited alongside, same era.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
Striving for simplicity: The all convolutional net
Jost Tobias Springenberg, Alexey Dosovitskiy, Thomas Brox, and Martin Riedmiller · 2014
Later among the works it cites.
Error-driven incremental learning in deep convolutional neural network for large-scale image classification
Tianjun Xiao, Jiaxing Zhang, Kuiyuan Yang, Yuxin Peng, and Zheng Zhang · 2014
Later among the works it cites.
Visualizing and understanding convolutional networks
Matthew D Zeiler and Rob Fergus · 2014
Later among the works it cites.
Actor-mimic: Deep multitask and transfer reinforcement learning
Emilio Parisotto, Jimmy Lei Ba, and Ruslan Salakhutdinov · 2015
Later among the works it cites.
Andrei A Rusu, Sergio Gomez Colmenarejo, Caglar Gulcehre, Guillaume Desjardins, James Kirkpatrick, Razvan Pascanu, Volodymyr Mnih, Koray Kavukcuoglu, and Raia Hadsell · 2015
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Online incremental feature learning with denoising autoencoders
Guanyu Zhou, Kihyuk Sohn, and Honglak Lee · 2012
Cited alongside, same era.
Representation learning: A review and new perspectives
Yoshua Bengio, Aaron Courville, and Pascal Vincent · 2013
Cited alongside, same era.
An empirical investigation of catastrophic forgetting in gradient-based neural networks
Ian J Goodfellow, Mehdi Mirza, Da Xiao, Aaron Courville, and Yoshua Bengio · 2013
Cited alongside, same era.
Deep inside convolutional networks: Visualising image classification models and saliency maps
Karen Simonyan, Andrea Vedaldi, and Andrew Zisserman · 2013
Cited alongside, same era.
Later among the works it cites.
Universal value function approximators
Tom Schaul, Daniel Horgan, Karol Gregor, and David Silver · 2015
Later among the works it cites.
Adanet: Adaptive structural learning of artificial neural networks
Corinna Cortes, Xavi Gonzalvo, Vitaly Kuznetsov, Mehryar Mohri, and Scott Yang · 2016
Later among the works it cites.
Andrei A Rusu, Neil C Rabinowitz, Guillaume Desjardins, Hubert Soyer, James Kirkpatrick, Koray Kavukcuoglu, Razvan Pascanu, and Raia Hadsell · 2016
Later among the works it cites.
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, et al · 2017
Later among the works it cites.
George Philipp and Jaime G Carbonell · 2017
Later among the works it cites.