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Neural Networks

11,723 papers

Papers per year

25
148
1385
860
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'15
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'25

Papers

A biologically plausible network for the computation of orientation dominance NIPS 2010
Learning Convolutional Feature Hierarchies for Visual Recognition NIPS 2010
An analysis on negative curvature induced by singularity in multi-layer neural-network learning NIPS 2010
Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine NIPS 2010
Hallucinations in Charles Bonnet Syndrome Induced by Homeostasis: a Deep Boltzmann Machine Model NIPS 2010
Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines AISTATS 2010
Neural conditional random fields AISTATS 2010
Inductive Principles for Restricted Boltzmann Machine Learning AISTATS 2010
Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images AISTATS 2010
Efficient Learning of Deep Boltzmann Machines AISTATS 2010
PyBrain JMLR 2010
Stochastic Complexity and Generalization Error of a Restricted Boltzmann Machine in Bayesian Estimation JMLR 2010
Slow, Decorrelated Features for Pretraining Complex Cell-like Networks NIPS 2009
Code-specific policy gradient rules for spiking neurons NIPS 2009
Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks NIPS 2009
An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism NIPS 2009
On Invariance in Hierarchical Models NIPS 2009
Replicated Softmax: an Undirected Topic Model NIPS 2009
Measuring Invariances in Deep Networks NIPS 2009
Kernel Methods for Deep Learning NIPS 2009
A Neural Implementation of the Kalman Filter NIPS 2009
3D Object Recognition with Deep Belief Nets NIPS 2009
Unsupervised feature learning for audio classification using convolutional deep belief networks NIPS 2009
STDP enables spiking neurons to detect hidden causes of their inputs NIPS 2009
On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation NIPS 2009