Co-occurring keywords · papers mentioning both
Papers
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
NeurIPS 2015
Semi-supervised Sequence Learning
NeurIPS 2015
Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis
NeurIPS 2015
A Clockwork RNN
ICML 2014
Identifying and attacking the saddle point problem in high-dimensional non-convex optimization
NeurIPS 2014
Modeling Deep Temporal Dependencies with Recurrent Grammar Cells""
NeurIPS 2014
Pre-training of Recurrent Neural Networks via Linear Autoencoders
NeurIPS 2014
Recurrent Convolutional Neural Networks for Scene Labeling
ICML 2014
Recurrent Models of Visual Attention
NeurIPS 2014
Towards End-To-End Speech Recognition with Recurrent Neural Networks
ICML 2014
Unsupervised learning of an efficient short-term memory network
NeurIPS 2014
On the difficulty of training recurrent neural networks
ICML 2013
On the importance of initialization and momentum in deep learning
ICML 2013
Recurrent networks of coupled Winner-Take-All oscillators for solving constraint satisfaction problems
NeurIPS 2013
Training and Analysing Deep Recurrent Neural Networks
NeurIPS 2013
Learning visual motion in recurrent neural networks
NeurIPS 2012
Oger: Modular Learning Architectures For Large-Scale Sequential Processing
JMLR 2012
Real-Time Inverse Dynamics Learning for Musculoskeletal Robots based on Echo State Gaussian Process Regression
RSS 2012
Deep Learning for Efficient Discriminative Parsing
AISTATS 2011
Practical Variational Inference for Neural Networks
NeurIPS 2011
Sequence learning with hidden units in spiking neural networks
NeurIPS 2011
Over-complete representations on recurrent neural networks can support persistent percepts
NeurIPS 2010
PyBrain
JMLR 2010
Short-term memory in neuronal networks through dynamical compressed sensing
NeurIPS 2010
Identification of Recurrent Neural Networks by Bayesian Interrogation Techniques
JMLR 2009