Fetching the paper…
Reading the bibliography…
We investigate the problem of factorizing a matrix into several sparse matrices and propose an algorithm for this under randomness and sparsity assumptions.
Greedy layer-wise training of deep networks
Y. Bengio, D. Popovici P. Lamblin, and H. Larochelle · 2006
Earlier work this paper cites.
A fast learning algorithm for deep belief nets
G. E. Hinton, S. Osinderoand, and Y. Teh · 2006
Earlier work this paper cites.
Efficient learning of sparse representations with an energy-based model
M. Ranzato, C. Poultney, S. Chopra, and Y. LeCun · 2006
Earlier work this paper cites.
Sparse feature learning for deep belief networks
M. Ranzato, Y. Boureau, and Y. LeCun · 2007
Earlier work this paper cites.
Learning deep architectures for ai
Y. Bengio · 2009
Earlier work this paper cites.
Smallest singular value of a random rectangular matrix
M. Rudelson and R. Vershynin · 2009
Cited alongside, same era.
Deep boltzmann machines
R. Salakhutdinov and G. E. Hinton · 2009
Cited alongside, same era.
Random matrices: The distribution of the smallest singular values
T. Tao and V. Vu · 2010
Cited alongside, same era.
Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Cited alongside, same era.
Universality and the circular law for sparse random matrices
P. M. Wood · 2012
Cited alongside, same era.
Sparse matrix factorization
B. Neyshabur and R. Panigrahy
Cited in the paper.
Provable bounds for learning some deep representations
S. Arora, A. Bhaskara, and T. Ma R. Ge · 2013
Closest in time.
New algorithms for learning incoherent and overcomplete dictionaries
S. Arora, R. Ge, and A. Moitra · 2013
Closest in time.
Representation learning: A review and new perspectives
Y. Bengio, A. Courville, and Vincent · 2013
Closest in time.
Maxout networks
I. J. Goodfellow, D. Warde-Farley, M. Mirza, A. Courville, and Y. Bengio · 2013
Closest in time.
Regularization of neural networks using dropconnect
Li. Wan, Matthew. Zeiler, Sixin. Zhang, Yann. LeCun, and Rob. Fergus · 2013
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…