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Neural Networks

11,705 papers

Papers per year

25
148
1385
858
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Papers

Over-complete representations on recurrent neural networks can support persistent percepts NIPS 2010
Learning to localise sounds with spiking neural networks NIPS 2010
Learning to combine foveal glimpses with a third-order Boltzmann machine NIPS 2010
A Log-Domain Implementation of the Diffusion Network in Very Large Scale Integration NIPS 2010
SpikeAnts, a spiking neuron network modelling the emergence of organization in a complex system NIPS 2010
Attractor Dynamics with Synaptic Depression NIPS 2010
Layer-wise analysis of deep networks with Gaussian kernels NIPS 2010
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