Deep Sequential Neural Network

Induction of decision trees

J. Ross Quinlan · 1986

Earlier work this paper cites.

Perceptron trees: A case study in hybrid concept representations

Paul E. Utgoff · 1988

Earlier work this paper cites.

Neural trees: a new tool for classification

J A Sirat and J-P Nadal · 1990

Earlier work this paper cites.

Hierarchical mixtures of experts and the em algorithm

Michael I. Jordan and Robert A. Jacobs · 1994

Earlier work this paper cites.

Solving deep memory pomdps with recurrent policy gradients

Daan Wierstra, Alexander Förster, Jan Peters, and Jürgen Schmidhuber · 2007

Earlier work this paper cites.

Learning to segment from a few well-selected training images

Alireza Farhangfar, Russell Greiner, and Csaba Szepesvári · 2009

Earlier work this paper cites.

Text classification: A sequential reading approach

Gabriel Dulac-Arnold, Ludovic Denoyer, and Patrick Gallinari · 2011

Earlier work this paper cites.

Fast classification using sparse decision dags

Róbert Busa-Fekete, Djalel Benbouzid, and Balázs Kégl · 2012

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Sequential approaches for learning datum-wise sparse representations

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Timely object recognition

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Imagenet classification with deep convolutional neural networks

Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton · 2012

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Training deep and recurrent networks with hessian-free optimization

James Martens and Ilya Sutskever · 2012

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Multi-column deep neural networks for image classification

Jurgen Schmidhuber · 2012

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Speech recognition with deep recurrent neural networks

Alex Graves, Abdel-rahman Mohamed, and Geoffrey E. Hinton · 2013

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Deep learning for NLP (without magic)

Richard Socher and Christopher D. Manning · 2013

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Bilingual word embeddings for phrase-based machine translation

Will Y. Zou, Richard Socher, Daniel M. Cer, and Christopher D. Manning · 2013

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The dropout learning algorithm

Pierre Baldi and Peter J. Sadowski · 2014

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Sequentially generated instance-dependent image representations for classification

Gabriel Dulac-Arnold, Ludovic Denoyer, Nicolas Thome, Matthieu Cord, and Patrick Gallinari · 2014

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Recurrent models of visual attention

Original

Volodymyr Mnih, Nicolas Heess, Alex Graves, and Koray Kavukcuoglu · 2014