Fetching the paper…
Reading the bibliography…
Rapid learning requires flexible representations to quickly adopt to new evidence.
Learning to generate artificial fovea trajectories for target detection
Schmidhuber, Juergen and Huber, Rudolf · 1991
Earlier work this paper cites.
Signature verification using a siamese time delay neural network
Bromley, Jane, Bentz, James W, Bottou, Léon, Guyon, Isabelle, LeCun, Yann, Moore, Cliff, Säckinger, Eduard, and Shah, Roopak · 1993
Earlier work this paper cites.
Neural mechanisms of selective visual attention
Desimone, Robert and Duncan, John · 1995
Earlier work this paper cites.
Long short-term memory
Hochreiter, Sepp and Schmidhuber, Jürgen · 1997
Earlier work this paper cites.
Learning to forget: Continual prediction with lstm
Gers, Felix A, Schmidhuber, Jürgen, and Cummins, Fred · 2000
Earlier work this paper cites.
A bayesian approach to unsupervised one-shot learning of object categories
Fe-Fei, Li, Fergus, Robert, and Perona, Pietro · 2003
Earlier work this paper cites.
Learning a similarity metric discriminatively, with application to face verification
Chopra, Sumit, Hadsell, Raia, and LeCun, Yann · 2005
Earlier work this paper cites.
Learning to combine foveal glimpses with a third-order boltzmann machine
Larochelle, Hugo and Hinton, Geoffrey E · 2010
Earlier work this paper cites.
Metalearning
Schaul, Tom and Schmidhuber, Jürgen · 2010
Cited alongside, same era.
Learning where to attend with deep architectures for image tracking
Denil, Misha, Bazzani, Loris, Larochelle, Hugo, and de Freitas, Nando · 2012
Cited alongside, same era.
A survey on metric learning for feature vectors and structured data
Bellet, Aurélien, Habrard, Amaury, and Sebban, Marc · 2013
Cited alongside, same era.
Generating sequences with recurrent neural networks
Graves, Alex · 2013
Cited alongside, same era.
Multiple object recognition with visual attention
Ba, Jimmy, Mnih, Volodymyr, and Kavukcuoglu, Koray · 2014
Cited alongside, same era.
Human-level concept learning through probabilistic program induction
Lake, Brenden M, Salakhutdinov, Ruslan, and Tenenbaum, Joshua B · 2015
Later among the works it cites.
Deep learning
LeCun, Yann, Bengio, Yoshua, and Hinton, Geoffrey · 2015
Later among the works it cites.
Deep learning in neural networks: An overview
Schmidhuber, Jürgen · 2015
Later among the works it cites.
Building machines that learn and think like people
Lake, Brenden M., Ullman, Tomer D., Tenenbaum, Joshua B., and Gershman, Samuel J · 2016
Later among the works it cites.
One-shot learning with memory-augmented neural networks
Santoro, Adam, Bartunov, Sergey, Botvinick, Matthew, Wierstra, Daan, and Lillicrap, Timothy · 2016
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Recurrent models of visual attention
Mnih, Volodymyr, Heess, Nicolas, Graves, Alex, et al · 2014
Cited alongside, same era.
Draw: A recurrent neural network for image generation
Gregor, Karol, Danihelka, Ivo, Graves, Alex, Rezende, Danilo Jimenez, and Wierstra, Daan · 2015
Cited alongside, same era.
Siamese neural networks for one-shot image recognition
Koch, Gregory, Zemel, Richard, and Salakhutdinov, Ruslan
Cited in the paper.
Vinyals, Oriol, Blundell, Charles, Lillicrap, Timothy, Kavukcuoglu, Koray, and Wierstra, Daan · 2016
Later among the works it cites.
Zagoruyko, Sergey and Komodakis, Nikos · 2016
Later among the works it cites.