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Neural Networks

11,705 papers

Papers per year

25
148
1385
858
'10
'15
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'25

Papers

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
Conditional Neural Fields NIPS 2009
Exploring Strategies for Training Deep Neural Networks JMLR 2009
NEUROSVM: An Architecture to Reduce the Effect of the Choice of Kernel on the Performance of SVM JMLR 2009
Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning NIPS 2008
A Scalable Hierarchical Distributed Language Model NIPS 2008
Deep Learning with Kernel Regularization for Visual Recognition NIPS 2008
Generative versus discriminative training of RBMs for classification of fMRI images NIPS 2008
Diffeomorphic Dimensionality Reduction NIPS 2008
Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks NIPS 2008
Cell Assemblies in Large Sparse Inhibitory Networks of Biologically Realistic Spiking Neurons NIPS 2008
The Recurrent Temporal Restricted Boltzmann Machine NIPS 2008
Short-Term Depression in VLSI Stochastic Synapse NIPS 2008
Dependence of Orientation Tuning on Recurrent Excitation and Inhibition in a Network Model of V1 NIPS 2008
Tracking Changing Stimuli in Continuous Attractor Neural Networks NIPS 2008
On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing NIPS 2008
Natural Image Denoising with Convolutional Networks NIPS 2008
Implicit Mixtures of Restricted Boltzmann Machines NIPS 2008
Self-organization using synaptic plasticity NIPS 2008