← Architectures
Deep Learning › Architectures ›

Neural Networks

11300 directly classified papers

Papers per year

Papers

Algorithms for Hyper-Parameter Optimization NIPS 2011
Extracting Speaker-Specific Information with a Regularized Siamese Deep Network NIPS 2011
Shallow vs. Deep Sum-Product Networks NIPS 2011
Sequence learning with hidden units in spiking neural networks NIPS 2011
Learning to Learn with Compound HD Models NIPS 2011
Selecting Receptive Fields in Deep Networks NIPS 2011
Mixed-Variate Restricted Boltzmann Machines ACML 2011
Robust Generation of Dynamical Patterns in Human Motion by a Deep Belief Nets ACML 2011
The Neural Autoregressive Distribution Estimator AISTATS 2011
Deep Sparse Rectifier Neural Networks AISTATS 2011
Select and Sample - A Model of Efficient Neural Inference and Learning NIPS 2011
Structured sparse coding via lateral inhibition NIPS 2011
Two-Layer Multiple Kernel Learning AISTATS 2011
Sparse Filtering NIPS 2011
Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines NIPS 2011
Natural Language Processing (Almost) from Scratch JMLR 2011
On Herding and the Perceptron Cycling Theorem NIPS 2010
Efficient Learning of Deep Boltzmann Machines AISTATS 2010
Attractor Dynamics with Synaptic Depression NIPS 2010
PyBrain JMLR 2010
Stochastic Complexity and Generalization Error of a Restricted Boltzmann Machine in Bayesian Estimation JMLR 2010
Inferring Stimulus Selectivity from the Spatial Structure of Neural Network Dynamics NIPS 2010
Deep Coding Network NIPS 2010
SpikeAnts, a spiking neuron network modelling the emergence of organization in a complex system NIPS 2010
Tiled convolutional neural networks NIPS 2010