Towards Conceptual Compression

Arithmetic coding for data compression

Witten, Ian H, Neal, Radford M, and Cleary, John G · 1987

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Keeping the neural networks simple by minimizing the description length of the weights

Hinton, Geoffrey E and Van Camp, Drew · 1993

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Long short-term memory

Hochreiter, Sepp and Schmidhuber, Jürgen · 1997

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Modeling high-dimensional discrete data with multi-layer neural networks

Bengio, Yoshua and Bengio, Samy · 1999

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Reducing the dimensionality of data with neural networks

Hinton, Geoffrey E and Salakhutdinov, Ruslan R · 2006

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Offline handwriting recognition with multidimensional recurrent neural networks

Graves, Alex and Schmidhuber, Jürgen · 2009

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Deep boltzmann machines

Salakhutdinov, Ruslan and Hinton, Geoffrey E · 2009

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Learning convolutional feature hierarchies for visual recognition

Kavukcuoglu, Koray, Sermanet, Pierre, Boureau, Y-Lan, Gregor, Karol, Mathieu, Michaël, and LeCun, Yann · 2010

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Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion

Vincent, Pascal, Larochelle, Hugo, Lajoie, Isabelle, Bengio, Yoshua, and Manzagol, Pierre-Antoine · 2010

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Deconvolutional networks

Zeiler, Matthew D, Krishnan, Dilip, Taylor, Graham W, and Fergus, Rob · 2010

Cited alongside, same era.

Learning representations by maximizing compression

Original

Gregor, Karol and LeCun, Yann · 2011

Cited alongside, same era.

The neural autoregressive distribution estimator

Larochelle, Hugo and Murray, Iain · 2011

Cited alongside, same era.

Building high-level features using large scale unsupervised learning

Le, Quoc V · 2013

Cited alongside, same era.

Nice: Non-linear independent components estimation

Original

Dinh, Laurent, Krueger, David, and Bengio, Yoshua · 2014

Cited alongside, same era.

Generative adversarial nets

Goodfellow, Ian, Pouget-Abadie, Jean, Mirza, Mehdi, Xu, Bing, Warde-Farley, David, Ozair, Sherjil, Courville, Aaron, and Bengio, Yoshua · 2014

Stochastic backpropagation and approximate inference in deep generative models

Rezende, Danilo J, Mohamed, Shakir, and Wierstra, Daan · 2014

Later among the works it cites.

Very deep convolutional networks for large-scale image recognition

Original

Simonyan, Karen and Zisserman, Andrew · 2014

Later among the works it cites.

Factoring variations in natural images with deep gaussian mixture models

van den Oord, Aaron and Schrauwen, Benjamin · 2014

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Deep generative image models using a Laplacian pyramid of adversarial networks

Denton, Emily L, Chintala, Soumith, Fergus, Rob, et al · 2015

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Draw: A recurrent neural network for image generation

Gregor, Karol, Danihelka, Ivo, Graves, Alex, Rezende, Danilo Jimenez, and Wierstra, Daan · 2015

Later among the works it cites.