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Disentangling factors of variation has become a very challenging problem on representation learning.
Liii. on lines and planes of closest fit to systems of points in space
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Multi-pie
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Rectifier nonlinearities improve neural network acoustic models
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On the importance of initialization and momentum in deep learning
Ilya Sutskever, James Martens, George E. Dahl, and Geoffrey E. Hinton · 2013
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Learning disentangled representations in deep generative models
N Siddharth, Brooks Paige, Alban Desmaison, Jan-Willem van de Meent, Frank Wood, Noah D Goodman, Pushmeet Kohli, and Philip HS Torr · 2016
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