Differentiable Pooling for Hierarchical Feature Learning

Backpropagation applied to handwritten zip code recognition

Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, and L. D. Jackel · 1989

Earlier work this paper cites.

An introduction to the conjugate gradient method without the agonizing pain

J. R. Shewchuk · 1994

Earlier work this paper cites.

Regression shrinkage and selection via the lasso

R. Tibshirani · 1996

Earlier work this paper cites.

Sparse coding with an overcomplete basis set: A strategy employed by V1?

B. A. Olshausen and D. J. Field · 1997

Earlier work this paper cites.

A fast learning algorithm for deep belief nets

G. E. Hinton, S. Osindero, and Y. The · 2006

Earlier work this paper cites.

Reducing the dimensionality of data with neural networks

G. E. Hinton and R. R. Salakhutdinov · 2006

Earlier work this paper cites.

Rapid inference on a novel and/or graph for object detection, segmentation and parsing

Y. Chen, L. Zhu, C. Lin, A. Yuille, and Z. H · 2007

Earlier work this paper cites.

Unsupervised learning of invariant feature hierarchies with applications to object reocgnition

M. Ranzato, F. Huang, Y. Boureau, and Y. LeCun · 2007

Earlier work this paper cites.

Liblinear: A library for large linear classification

R. E. Fan, K. W. Chang, C. J. Hsieh, X. R. Wang, and C. J. Lin · 2008

Cited alongside, same era.

Modeling receptive fields with non-negative sparse coding

P. O. Hoyer · 2008

Cited alongside, same era.

A fast iterative shrinkage-thresholding algorithm for linear inverse problems

A. Beck and M. Teboulle · 2009

Cited alongside, same era.

Analytic Hyper-Laplacian Priors for Fast Image Deconvolution

D. Krishnan and R. Fergus · 2009

Cited alongside, same era.

Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations

H. Lee, R. Grosse, R. Ranganath, and A. Y. Ng · 2009

Cited alongside, same era.

Deep Boltzmann machines

R. Salakhutdinov and G. Hinton · 2009

Cited alongside, same era.

Latent hierarchical structural learning for object detection

L. Zhu, Y. Chen, A. Yuille, and W. Freeman · 2010

Later among the works it cites.

Transforming auto-encoders

G. E. Hinton, A. Krizhevsky, and S. Wang · 2011

Later among the works it cites.

Learning deep energy models

J. Ngiam, Z. Chen, P. Koh, and A. Ng · 2011

Later among the works it cites.

Are sparse representations really relevant for image classification?

R. Rigamonti, M. Brown, and V. Lepetit · 2011

Later among the works it cites.

Adaptive deconvolutional networks for mid and high level feature learning

M. Zeiler, G. Taylor, and R. Fergus · 2011

Later among the works it cites.

The shape boltzmann machine: a strong model of object shape

S. Eslami, N. Heess, and J. Winn · 2012

Closest in time.