← Architectures
Deep Learning › Architectures ›

Recurrent Neural Networks

592 directly classified papers

Papers per year

Papers

Bidirectional Recurrent Neural Networks as Generative Models NIPS 2015
Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation NIPS 2015
Mind's Eye: A Recurrent Visual Representation for Image Caption Generation CVPR 2015
Hessian-free Optimization for Learning Deep Multidimensional Recurrent Neural Networks NIPS 2015
Deep Recursive Neural Networks for Compositionality in Language NIPS 2014
Modeling Deep Temporal Dependencies with Recurrent Grammar Cells"" NIPS 2014
Global Belief Recursive Neural Networks NIPS 2014
Recursive Context Propagation Network for Semantic Scene Labeling NIPS 2014
Sequence to Sequence Learning with Neural Networks NIPS 2014
Training and Analysing Deep Recurrent Neural Networks NIPS 2013
Learning visual motion in recurrent neural networks NIPS 2012
Sequence learning with hidden units in spiking neural networks NIPS 2011
Over-complete representations on recurrent neural networks can support persistent percepts NIPS 2010
On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing NIPS 2008
Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks NIPS 2008
Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks NIPS 2007
A Scalable Machine Learning Approach to Go NIPS 2006